Remote Hindi Content Safety Annotator (Contractor)

AuraOne; United States; On-site; USD 44,083 - 55,104; Part time

Benefits offered by this job

Remote work

Job summary

AuraOne is seeking a remote Content Safety Annotator (Hindi) to review generalist evaluation prompts and responses. You will compare paired outputs, apply a versioned rubric, write rationales, and tag content according to policy, contributing to model retraining data and quality improvements.

The role is remote for US-eligible contractors, requiring clear reasoning and consistent rubric application, with a commitment of at least 10 hours per week and independent contractor terms.

Qualifications

• Prior evaluation, annotation, or human-rater experience on hindi generalist evaluation or adjacent content for Content Safety Annotator - Hindi 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.

Responsibilities

• Evaluate hindi generalist evaluation model outputs against a versioned rubric and assign severity tags for Content Safety Annotator - Hindi 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.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Evaluating model outputs

Rubric-based annotation

Severity tagging

Inter-rater calibration

Hindi generalist evaluation

Tools

Quality rubrics

Job description

AuraOne is seeking a remote Content Safety Annotator (Hindi) to review generalist evaluation prompts and responses. You will compare paired outputs, apply a versioned rubric, write rationales, and tag content according to policy, contributing to model retraining data and quality improvements.

The role is remote for US-eligible contractors, requiring clear reasoning and consistent rubric application, with a commitment of at least 10 hours per week and independent contractor terms.