AI Agent Interaction Specialist - Dialogue & Conversation Evalua

AI Trainer Jobs; United States; Remote; USD 28,000 - 50,000; Full time

Job summary

AI Trainer Jobs is seeking an AI Agent Interaction Specialist - Dialogue & Conversation Evaluation for a remote contractor role. You will review ai agent interaction prompts and responses against AuraOne's quality rubric, label edge cases, and provide structured feedback to retrain the model.

You will judge model behavior on text, images, and documents, including mixed-input tasks. Responsibilities include evaluating model outputs against a versioned rubric, selecting the stronger response with

Qualifications

• Prior evaluation, annotation, or human-rater experience on ai agent interaction evaluation or adjacent content for AI Agent Interaction Specialist - Dialogue & Conversation Evaluation 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 ai agent interaction evaluation model outputs against a versioned rubric and assign severity tags for AI Agent Interaction Specialist - Dialogue & Conversation Evaluation 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.
• 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.

Skills

Annotation experience

Inter-rater agreement

Attention to detail

Structured reasoning

Rubric-based evaluation

Job description

About the role

AI Agent Interaction Specialist - Dialogue & Conversation Evaluation is a remote evaluation track for reviewing ai agent interaction 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 ai agent interaction evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Judge model behavior on text, images, and documents. Also on mixed-input tasks.

Responsibilities

• Evaluate ai agent interaction evaluation model outputs against a versioned rubric and assign severity tags for AI Agent Interaction Specialist - Dialogue & Conversation Evaluation 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 ai agent interaction evaluation or adjacent content for AI Agent Interaction Specialist - Dialogue & Conversation Evaluation 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 ai agent interaction 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
• AI Agent Interaction evaluation
• AI Evaluation & Annotation
• 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.