Robot Trajectory Task Evaluator

AI Trainer Jobs; United States; Remote; USD 3,444,000 - 6,199,000; Full time

Job summary

AI Trainer Jobs is seeking a remote Robot Trajectory Task Evaluator to review prompts and responses against AuraOne's rubric. You will compare paired outputs, label edge cases, and write structured feedback to help retrain the modeling team.

As an independent contractor, you will work remotely with US eligibility and flexible pacing. Prior evaluation or annotation experience is required, and you should provide clear written reasoning and maintain high attention to detail across long batches.

Qualifications

• Prior evaluation, annotation, or human-rater experience on robot trajectory task evaluation.
• Ability to apply 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 ability to flag when a prompt is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

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

Skills

Attention to detail

Clear written reasoning

Reliable async availability

Job description

Robot Trajectory Task Evaluator is a remote evaluation track for reviewing robot trajectory task 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: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Robot Trajectory Task Evaluator is a remote evaluation track for reviewing robot trajectory task evaluation prompts and responses against AuraOne's quality rubric.

About the role

Robot Trajectory Task Evaluator is a remote evaluation track for reviewing robot trajectory task 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 robot trajectory task 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 robot trajectory task evaluation model outputs against a versioned rubric and assign severity tags for Robot Trajectory Task Evaluator 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.

Role details

Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on robot trajectory task evaluation or adjacent content for Robot Trajectory Task Evaluator 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 robot trajectory task 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