Project Management AI Evaluator

AI Trainer Jobs; United States; Remote; USD 34,000 - 69,000; Full time

Benefits offered by this job

Remote work

Contractor role

Job summary

AuraOne is seeking a Project Management AI Evaluator to remotely review and label AI outputs against a versioned rubric. You will compare paired responses, justify your selections, and tag errors such as hallucinations or policy violations.

This independent contractor role requires reliable async availability of at least 10 hours per week and careful adherence to rubrics across batches of prompts.

Qualifications

• Prior evaluation or annotation experience on PM AI evaluation or related content.
• Ability to apply rubrics consistently across long batches.
• Clear written reasoning that names the issue and rubric clause.
• Strong attention to detail and ability to flag prompt problems.
• Experience with multi-page rubrics and labeling.

Responsibilities

• Evaluate PM AI evaluation model outputs against a rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a rationale.
• Label hallucinations, instruction-following failures, and unsafe content with tags.
• Capture ambiguous prompts and route for rubric updates.
• Calibrate reviewer scores against gold-standard examples weekly.

Skills

Evaluation experience

Annotation experience

Inter-rater calibration

Written reasoning

Attention to detail

Project management understanding

Job description

About the role

Project Management AI Evaluator is a remote evaluation track for reviewing project management ai 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 project management ai 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 project management ai evaluation model outputs against a versioned rubric and assign severity tags for Project Management AI 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.

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 project management ai evaluation or adjacent content for Project Management AI 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 project management ai 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
• Project Management AI evaluation
• Enterprise operations
• AI evaluation
• Rubric writing
• Expert review

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.