Hindi/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

CNTXT AI

Hyderabad

Remote

INR 827,000 - 1,653,000

Part time

15 hours ago
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Job summary

CNTXT AI is seeking a fully remote, hourly contractor to support AI data and language projects. You will perform data annotation, LLM evaluation, content generation, and localization QA across Hindi and English, with a focus on accuracy, tone, and cultural nuance.

Applicants should have a Bachelor's or higher, native or near-native Hindi, and C1 English proficiency, plus strong editorial judgment and problem-solving in multi-time-zone environments.

Qualifications

  • Bachelor's degree or higher.
  • Native Hindi with strong writing.
  • C1 English proficiency for prompts & guidelines.
  • Editorial judgment with tone, inclusivity, and nuance.

Responsibilities

  • Perform data annotation for AI training datasets.
  • Evaluate AI-generated content for accuracy, reasoning, coherence, and cultural appropriateness.
  • Create prompts and model responses to guide AI learning.
  • Conduct localization QA for terminology, tone, and locale details across outputs.
  • Identify and explain corrections clearly to maintain quality across time zones.

Skills

Hindi localization
Editing & proofreading
C1 English proficiency
Attention to detail
Cross-time-zone communication

Education

Bachelor's degree or higher

Tools

CAT tools
QA workflows
MQM/LQA concepts

Job description

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.

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