At-Home Video Recorder (LATAM)

AI Trainer Jobs; United States; Remote; USD 28,000 - 48,000; Full time

Benefits offered by this job

Hourly rate confirmed after interview

Job summary

AI Trainer Jobs is seeking an independent remote contractor to review at-home video recorder outputs and provide rubric-based feedback. You will evaluate model outputs, label issues, and calibrate against gold-standard examples to maintain quality across batches.

Experience with LATAM evaluation tasks and clear written reasoning is essential, with at least 10 hours per week available. Remote work from the US-eligible program is supported.

Qualifications

• Prior evaluation, annotation, or human-rater experience on At-Home Video Recorder (LATAM) work.
• 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 model outputs against a versioned rubric and assign severity tags.
• 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

Model evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

At Home Video Recorder evaluation

Job description

At-Home Video Recorder (LATAM) is a remote evaluation track for reviewing at home 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.

Category: Video, Vision & Spatial AI · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

At-Home Video Recorder (LATAM) is a remote evaluation track for reviewing at home video recorder evaluation prompts and responses against AuraOne's quality rubric.

About the role

At-Home Video Recorder (LATAM) is a remote evaluation track for reviewing at home video recorder evaluation prompts and responses against AuraOne's quality rubric.
AI data reviewers help turn at home video recorder 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 at home video recorder evaluation model outputs against a versioned rubric and assign severity tags for At-Home Video Recorder (LATAM) 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 at home video recorder evaluation or adjacent content for At-Home Video Recorder (LATAM) 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 at home 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.

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
• At Home Video Recorder evaluation
• Design