Remote Household Data Specialist - Video Capture (PH)

AI Trainer Jobs; United States; Remote; USD 34,000 - 62,000; Full time

Job summary

AuraOne seeks a Remote Household Data Specialist - Video Capture (PH) to review remote household data video capture evaluation prompts and responses against its quality rubric. You will compare outputs, label edge cases, and provide structured feedback for retraining.

As an independent contractor, you will evaluate model outputs, tag issues, and help ensure data reliability across multi-page rubrics with strong written reasoning.

Qualifications

• Prior evaluation, annotation, or human-rater experience on remote household data video capture evaluation.
• Ability to follow multi-page rubrics consistently across long batches.
• Clear written reasoning naming the issue and the rubric clause 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.
• Flag ambiguous prompts and route to the program team for rubric updates.
• Audit batches for rubric consistency and report drift.

Skills

Model evaluation

Rubric-based annotation

Inter-rater calibration

Remote data review

Job description

Remote Household Data Specialist - Video Capture (PH) is a remote evaluation track for reviewing remote household data video capture 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: Video, Vision & Spatial AI · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Remote Household Data Specialist - Video Capture (PH) is a remote evaluation track for reviewing remote household data video capture evaluation prompts and responses against AuraOne's quality rubric.

About the role

Remote Household Data Specialist - Video Capture (PH) is a remote evaluation track for reviewing remote household data video capture 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 remote household data video capture evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review image and video output. Judge spatial reasoning and scene understanding.

Responsibilities

• Evaluate remote household data video capture evaluation model outputs against a versioned rubric and assign severity tags for Remote Household Data Specialist - Video Capture (PH) 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.

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 remote household data video capture evaluation or adjacent content for Remote Household Data Specialist - Video Capture (PH) 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 remote household data video capture 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
• Inter-rater calibration
• Remote Household Data Video Capture evaluation
• Design

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.