Backend Engineer (JSON Schema Developer)

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

Benefits offered by this job

Remote work

Contractor role

Job summary

AI Trainer Jobs is seeking a Backend Engineer (JSON Schema Developer) for a remote evaluation track. Review prompts and responses, label edge cases, and provide structured feedback to retrain the model.

Responsibilities include comparing outputs, tagging issues, and helping build auditable labels and datasets for AuraOne Human Data. This is a remote contractor role with US eligibility and 10+ hours per week of work.

Qualifications

• Prior evaluation, annotation, or human-rater experience on backend engineer evaluation.
• Ability to apply 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.

Responsibilities

• Evaluate backend engineer evaluation model outputs against a versioned rubric and assign severity tags for Backend 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.

Skills

JSON Schema Development

Backend Evaluation

Annotation

Quality Review

Job description

Backend Engineer (JSON Schema Developer) is a remote evaluation track for reviewing backend 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

Backend Engineer (JSON Schema Developer) is a remote evaluation track for reviewing backend engineer evaluation prompts and responses against AuraOne's quality rubric.

About the role

Backend Engineer (JSON Schema Developer) is a remote evaluation track for reviewing backend 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 backend 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 backend engineer evaluation model outputs against a versioned rubric and assign severity tags for Backend 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 backend engineer evaluation or adjacent content for Backend 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 backend 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
• Backend Engineer evaluation
• API Contract Design
• Data Architecture
• Data Modeling
• Data Validation & Field Typing
• JSON Schema Development
• Schema Design