Video Recorder (San Francisco) — AI Evaluation Projects

AuraOne Human Data; United States; À distance; USD 34 000 - 55 000; Plein temps

Résumé du poste

Qualifications

• Prior evaluation or annotation experience on video recorder evaluation
• Clear written reasoning that names the issue and the rubric clause
• Reliable async availability for at least 10 hours per week

Responsabilités

• Evaluate video recorder evaluation model outputs against a 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.
• Maintain reviewer-quality scores by calibrating against gold-standard examples weekly.
• Document recurring failure modes for model improvement.

Connaissances

Video evaluation

Attention to detail

Written reasoning

Async availability

Annotation experience

Outils

Annotation tools

Description du poste

Video Recorder (San Francisco) — AI Evaluation Projects is a remote evaluation track for reviewing video recorder 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 recorder evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate video recorder evaluation model outputs against a versioned rubric and assign severity tags for Video Recorder (San Francisco) — AI Evaluation Projects 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 recorder evaluation or adjacent content for Video Recorder (San Francisco) — AI Evaluation Projects 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 recorder 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 Recorder evaluation
• Design

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.