Generalist (Macbook User)

AI Trainer Jobs; United States; Remote; USD 69,000 - 83,000; Full time

Job summary

AI Trainer Jobs seeks a Generalist (Macbook User) to remotely evaluate prompts and responses against AuraOne's rubric. You will compare paired outputs, label edge cases, and draft structured feedback for retraining.

Role involves reviewing frontier model outputs, judging quality, and calibrating other reviewers to maintain consistency across large batches. Strong writing and async availability are essential.

Qualifications

• Prior evaluation, annotation, or human-rater experience on generalist evaluation or adjacent content.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate generalist evaluation model outputs against a versioned rubric and assign severity tags for Generalist (Macbook User) 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.

Skills

Generalist evaluation

Annotation

Inter-rater calibration

Linguistics background

Tools

Rubrics

Job description

Generalist (Macbook User) is a remote evaluation track for reviewing 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.

Category: Frontier Model Evaluation · Pay: $50–$60 / hr · Location: Remote — US-eligible · Contractor

Generalist (Macbook User) is a remote evaluation track for reviewing generalist evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Generalist (Macbook User) is a remote evaluation track for reviewing 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 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 generalist evaluation model outputs against a versioned rubric and assign severity tags for Generalist (Macbook User) 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 generalist evaluation or adjacent content for Generalist (Macbook User) 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 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

$50–$60 / 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 evaluation