Video Instruction Following Evaluator

AuraOne, Inc.; United States; Remote; USD 39,000 - 52,000; Part time

Job summary

AuraOne, Inc. is seeking a remote Video Instruction Following Evaluator to review model outputs and provide structured feedback. You will compare paired responses, assign severity tags, and label content issues according to a versioned rubric.

Responsibilities include documenting failure modes, calibrating scores weekly, and routing ambiguous prompts for rubric updates. This contractor role requires strong attention to detail and the ability to work asynchronously for at least 10 hours per week.

Qualifications

• Prior evaluation, annotation, or human-rater experience on video instruction following evaluation.
• Clear written reasoning that names the issue and the rubric clause.
• 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 video instruction following evaluation model outputs against a versioned rubric and assign severity tags for Video Instruction Following 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.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

Video instruction following

Computer vision

Spatial reasoning

Video QA

Video

Instruction

Following

Job description

Video Instruction Following Evaluator is a remote evaluation track for reviewing video instruction following 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.

Why this role matters

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

Responsibilities

• Evaluate video instruction following evaluation model outputs against a versioned rubric and assign severity tags for Video Instruction Following 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.
• Document recurring failure modes so the modeling team can target them in the next training run.

Qualifications

• Prior evaluation, annotation, or human-rater experience on video instruction following evaluation or adjacent content for Video Instruction Following 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.

Example tasks

• Compare two video instruction following 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.

Nice to have

• 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.

Skills

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Video Instruction Following evaluation
• Computer vision
• Spatial reasoning
• Video QA
• Video
• Instruction
• Following

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

Prior evaluation, annotation, or human-rater experience on video instruction following evaluation or adjacent content for Video Instruction Following 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.