Software / AI / IT / data Evaluator

AI Trainer Jobs; United States; Remote; USD 110,000 - 165,000; Part time

Job summary

AI Trainer Jobs is seeking a remote Software / AI / IT / data Evaluator to review prompts and responses against a quality rubric. Reviewers compare outputs, label edge cases, and provide structured feedback for model retraining.

The role involves evaluating model outputs, tagging issues, and calibrating against gold standards on a weekly cadence. Flexible, contractor-based, remote from the US with independent work pacing.

Qualifications

• Prior evaluation, annotation, or human-rater experience on software/ai/data evaluation or adjacent content for Software/AI/IT/data Evaluator work.

Responsibilities

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

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Software / AI / IT / data evaluation

Job description

Software / AI / IT / data Evaluator is a remote evaluation track for reviewing software / ai / it / data 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: $80–$120 / hr · Location: Remote — US-eligible · Contractor

Software / AI / IT / data Evaluator is a remote evaluation track for reviewing software / ai / it / data evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Software / AI / IT / data Evaluator is a remote evaluation track for reviewing software / ai / it / data 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 software / ai / it / data 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 software / ai / it / data evaluation model outputs against a versioned rubric and assign severity tags for Software / AI / IT / data 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.Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation $80–$120 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on software / ai / it / data evaluation or adjacent content for Software / AI / IT / data 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 software / ai / it / data 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

$80–$120 / hr
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
• Software / AI / IT / data evaluation

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.