Hindi Language Expert

AI Trainer Jobs; United States; On-site; USD 34,000 - 48,000; Part time

Job summary

AI Trainer Jobs seeks a Hindi Language Expert for a remote evaluation track. Review Hindi prompts and responses, compare paired outputs, label edge cases, and provide structured feedback to retrain models.

You will turn evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data, and calibrate against gold standards to maintain reviewer quality. This contractor role offers flexible hours and program-driven task volume.

Qualifications

• Experience evaluating Hindi-language content against rubrics.
• Ability to apply rubrics consistently across long batches.
• Strong written rationale documenting the issue and rubric reference.

Responsibilities

• Evaluate Hindi generalist evaluation outputs against a rubric and assign severity tags.
• Compare paired responses and select the stronger with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with tags.
• Capture ambiguous prompts and report for rubric updates.
• Maintain reviewer-quality scores through calibration against gold-standard examples.

Skills

Hindi language

Evaluation experience

Rubric-based annotation

Inter-rater calibration

Attention to detail

Education

Linguistics background

Tools

Annotation tools

Job description

About the role

Hindi Language Expert is a remote evaluation track for reviewing hindi generalist evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

AI data reviewers help turn hindi generalist evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate hindi generalist evaluation model outputs against a versioned rubric and assign severity tags for Hindi Language Expert assignments.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.

What you should bring

• Prior evaluation, annotation, or human-rater experience on hindi generalist evaluation or adjacent content for Hindi Language Expert work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

• Compare two hindi generalist evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Useful experience

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

Compensation and schedule

Hourly rate confirmed after the interview process.

Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Hindi generalist evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up. Placement timing depends on program demand and reviewer confirmation.