Full-Stack Engineer (JSON Schema Developer)

AI Trainer Jobs; United States; Remote; USD 55,000 - 58,000; Part time

Benefits offered by this job

Remote work

Contractor engagement

US-eligible

Job summary

AI Trainer Jobs is seeking a remote evaluator for Full-Stack Engineer evaluation prompts and responses, aligning outputs with AuraOne's quality rubric. You will review paired results, label edge cases, and craft structured feedback for model retraining.

As a contractor, you will assess compliance, tag severities, and help build auditable datasets. The role emphasizes precise reasoning, attention to detail, and consistent application of rubric clauses on a weekly cadence.

Qualifications

• Prior evaluation or annotation experience on software prompts or content.
• Ability to apply rubrics and label edge cases.
• Strong written reasoning and problem description skills.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the better one with rationale.
• Label hallucinations and unsafe content with structured tags.
• Capture ambiguous prompts and route for rubric updates.
• Calibrate reviewer quality against gold-standard examples weekly.

Skills

Evaluation experience

Annotation

Inter-rater calibration

Attention to detail

Clear written reasoning

Async availability

Tools

JSON Schema

JSON

API Gateway

Schema Design

Data Validation

Job description

Full-Stack Engineer (JSON Schema Developer) is a remote evaluation track for reviewing full stack engineer 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: Data Quality, Taxonomy & Ontology · Pay: $40–$42 / hr · Location: Remote — US-eligible · Contractor

Full-Stack Engineer (JSON Schema Developer) is a remote evaluation track for reviewing full stack engineer evaluation prompts and responses against AuraOne's quality rubric.

About the role

Full-Stack Engineer (JSON Schema Developer) is a remote evaluation track for reviewing full stack engineer 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 full stack engineer evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Design and audit label taxonomies, knowledge graphs, and evaluation datasets.

Responsibilities

• Evaluate full stack engineer evaluation model outputs against a versioned rubric and assign severity tags for Full-Stack Engineer (JSON Schema Developer) 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 $40–$42 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on full stack engineer evaluation or adjacent content for Full-Stack Engineer (JSON Schema Developer) 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 full stack engineer 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

$40–$42 / 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
• Full Stack Engineer evaluation
• API Gateway
• Data Validation
• JSON
• JSON Web Token
• Schema Design