Generalist - English & Assamese

AuraOne; United States; On-site; USD 21,000 - 28,000; Part time

Benefits offered by this job

Remote work

Contractor flexibility

Job summary

AuraOne's Human Data team is seeking a remote reviewer to assess generalist English & Assamese prompts and outputs. You will compare paired results, label edge cases, and provide structured feedback to retrain models. This independent contractor role requires clear reasoning, attention to detail, and reliable weekly availability.

Expect 10+ hours per week, with compensation at $15–$20 per hour, depending on experience and program demand. Remote, contractor-based engagement across the US.

Qualifications

• Prior evaluation, annotation, or human-rater experience on generalist english & Assamese evaluation work.
• Clear written reasoning naming the issue and rubric clause applied.
• Strong attention to detail and ability to flag prompt problems.
• Reliable async availability for at least 10 hours per week.
• Experience with multi-page rubrics and long batch reviews.

Responsibilities

• Evaluate generalist english & assamese evaluation model outputs against a rubric and assign severity tags.
• Compare paired responses and select the stronger with written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route to the program team for rubric updates.
• Calibrate reviewer quality against gold-standard examples weekly.

Skills

Evaluation experience

Written reasoning

Attention to detail

Async availability

Reliability

Job description

About the role

Generalist - English & Assamese is a remote evaluation track for reviewing generalist english assamese 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 generalist english assamese 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 generalist english assamese evaluation model outputs against a versioned rubric and assign severity tags for Generalist - English & Assamese 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.
  Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation $15–$20 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on generalist english assamese evaluation or adjacent content for Generalist - English & Assamese 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 generalist english assamese 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

$15–$20 / hr
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
• Generalist English Assamese evaluation