Spatial Data Analyst

AI Trainer Jobs; United States; Remote; USD 146,000 - 198,000; Full time

Job summary

AI Trainer Jobs is seeking contractors for a remote Spatial Data Analyst evaluation role. You will review evaluation prompts and responses, compare outputs against a versioned rubric, and provide structured feedback to support AuraOne’s modeling team.

The position requires prior evaluation or annotation experience, attention to detail, and reliable async availability for at least 10 hours per week. Compensation is $125 per hour as a contractor, with US-eligible remote work.

Qualifications

• Experience evaluating prompts and responses using rubrics.
• Ability to annotate, label edge cases, and provide clear rationales.
• Strong attention to detail and consistency in judgments.

Responsibilities

• Evaluate spatial data analyst evaluation model outputs against a versioned rubric and assign severity tags for Spatial Data Analyst assignments.
• Compare paired responses and select the stronger answer with 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

Evaluation experience

Annotation/moderation

Strong reasoning

Attention to detail

Async availability

Job description

Spatial Data Analyst is a remote evaluation track for reviewing spatial data analyst 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: Video, Vision & Spatial AI · Pay: $125 / hr · Location: Remote — US-eligible · Contractor

Spatial Data Analyst is a remote evaluation track for reviewing spatial data analyst 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.

About the role

Spatial Data Analyst is a remote evaluation track for reviewing spatial data analyst 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 spatial data analyst evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review image and video output. Judge spatial reasoning and scene understanding.

Responsibilities

• Evaluate spatial data analyst evaluation model outputs against a versioned rubric and assign severity tags for Spatial Data Analyst 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.

What you should bring

• Prior evaluation, annotation, or human-rater experience on spatial data analyst evaluation or adjacent content for Spatial Data Analyst 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 spatial data analyst 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

$125 / 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
• Spatial Data Analyst 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.