Where experts
get paid to train AI

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Arabic localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one dialect.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).

• Previous experience with AI data training, annotation, or evaluation.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

In this remote, hourly contractor role, you will evaluate AI-generated biology content to help improve accuracy, reliability, and clarity. Tasks may include:

• Evaluating AI-generated responses for biological accuracy, reasoning quality, and methodological soundness

• Identifying errors in scientific methodology, conceptual misunderstandings, and unsupported claims, fact-checking against reliable sources, and explaining corrections clearly in writing

• Rating and comparing AI responses based on correctness, internal consistency, and adherence to the prompt

• Developing prompts and test cases that probe AI accuracy across biological topics

Profile Requirements

• Bachelor's degree or higher in Biology, Molecular Biology, Biochemistry, Physiology, or a closely related life sciences field

• Solid foundation in human and animal biology, molecular pathways, physiology, disease fundamentals, and experimental reasoning

• Ability to explain complex biological concepts and correlations clearly and accurately in writing

• Full professional English proficiency

• Exceptional attention to detail

• Reliable and self-directed, with consistent output quality in a remote, asynchronous workflow

Preferred Experience

• Prior experience with AI data training, annotation, or model evaluation

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Brazilian Portuguese localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Brazilian Portuguese proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Castilian Spanish localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Castilian Spanish proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Mandarin (Chinese simplified) localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Mandarin (Chinese simplified) proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Job Overview:

We are seeking detail-oriented Data Annotators to support complex image annotation tasks. This role is ideal for individuals with a technical background — preferably Computer Science graduates — or those with strong visual attention skills developed through online gaming. This is a remote, full time role requiring full commitment to UAE business hours (9 am - 6 pm, Monday - Friday).

Key Responsibilities:

• Perform high-quality annotation of images following detailed guidelines

• Identify, label, and segment objects accurately in complex visual data

• Ensure consistency and precision across large datasets

• Collaborate with team leads to resolve ambiguities and improve annotation quality

• Meet productivity and quality benchmarks

Requirements:

• Bachelor’s degree in Computer Science or related technical field (preferred)

• Alternatively, strong spatial awareness and attention to detail (e.g., experienced online gamers)

• Ability to understand and follow complex instructions

• Good analytical and problem-solving skills

• Basic familiarity with annotation tools or willingness to learn

• Strong focus and ability to handle repetitive tasks with high accuracy

Preferred Skills:

• Experience with image annotation, labeling, or data processing

• Familiarity with computer vision concepts is a plus

• Comfortable working with large datasets and tight deadlines

Work Style:

• Detail-driven, patient, and consistent

• Able to work independently and within a team environment

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

This position exclusively seeks native speakers of American English born and raised in the United States.

Profile Requirements

• Native speakers of American English born and raised in the United States.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with QA workflows.

• Previous experience with AI data training, annotation, or evaluation.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level European Portuguese localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native European Portuguese proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

In this remote, hourly contractor role, you will evaluate AI-generated financial content and develop cases that test analytical reasoning accuracy. Your work directly improves how leading AI models handle financial information, making them more accurate, reliable, and clearly explained. Tasks may include:

• Evaluating AI-generated responses across banking, insurance, accounting, and risk management for factual accuracy, analytical soundness, and correct application of financial principles

• Identifying errors in financial methodology, flawed assumptions, misapplied regulations, and unsupported conclusions, fact-checking against reliable sources, and explaining corrections clearly in writing

• Assessing AI reasoning across multi-document financial scenarios, including cross-referencing data across balance sheets, reports, and operational records

• Developing prompts and test cases that test AI performance on practical financial operations and data analysis, including Excel-based evaluation tasks

• Rating and comparing AI responses based on correctness, internal consistency, and adherence to the prompt

Profile Requirements

• Bachelor's degree or higher in Finance, Accounting, Economics, Business, or a closely related field

• Minimum 1 year of full-time professional experience in banking, insurance, accounting, or risk management

• Ability to explain complex financial concepts clearly and accurately in writing

• Full professional English proficiency

• Reliable and self-directed, with consistent output quality in a remote, asynchronous workflow

Preferred Experience

• Prior experience with AI data training, annotation, or model evaluation

• Familiarity with multimodal AI tools or LLM evaluation workflows

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level French localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native French (France-native) proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level German localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native German proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Hindi localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Hindi proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Italian localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Italian proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Japanese localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher in Japanese Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Japanese proficiency, with strong command of linguistic and cultural conventions in Japan.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).

• Previous experience with AI data training, annotation, or evaluation.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Korean localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.

• Native Korean proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).

• Previous experience with AI data training, annotation, or evaluation.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

In this remote, hourly contractor role, you will evaluate AI-generated medical content and develop cases that test clinical reasoning accuracy. Your work directly improves how leading AI models handle healthcare information, making them more accurate, reliable, and safe. Tasks may include:

• Evaluating AI-generated medical responses for clinical accuracy, reasoning quality, and patient safety implications

• Identifying errors in clinical methodology, unsafe assumptions, missing contraindications, and misinterpretation of diagnostic data

• Writing clear, precise feedback explaining corrections and reasoning gaps

• Developing prompts and test cases that probe AI accuracy across clinical scenarios

• Rating and comparing AI responses based on correctness, internal consistency, and contextual appropriateness

• Fact-checking medical content against reliable sources using consistent reasoning

Profile Requirements:

• Bachelor's degree or higher in Medicine (MD/DO), Nursing, Public Health, Health Sciences, or Allied Health

• 5+ years of professional experience in a relevant healthcare discipline

• Strong clinical reasoning skills: differential diagnosis, risk stratification, red-flag recognition

• Solid grounding in disease processes, patient care, public health principles, and medical terminology

• Full professional English proficiency

• Exceptional attention to detail and ability to explain corrections clearly in writing

• Reliable and self-directed, with consistent output quality in a remote, asynchronous workflow

Preferred Experience:

• Experience in clinical documentation review, utilization review, or healthcare editorial QA

• Prior experience with AI data training or annotation

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Thai localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Thai proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.

• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.

• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Vietnamese localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.

• Native or near-native Vietnamese proficiency with strong writing and editing skills.

• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.

• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.

• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.

• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.

• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.

• Previous experience with AI data training, annotation, or evaluation.

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.

• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.