PDF Annotation & Transcription Experts - Malayalam

AI Trainer Jobs; United States; Remote; USD 15,000 - 21,000; Full time

Benefits offered by this job

Remote work

Job summary

AuraOne is seeking a remote PDF annotation and transcription evaluator for Malayalam to review model outputs against our quality rubric. You will compare paired responses, identify edge cases, and provide structured feedback to help retrain the model.

In this contractor role, you’ll work asynchronously, commit to about 10 hours per week, and contribute to calibration and inter-rater reliability. Compensation is $13 per hour, US-eligible, with remote placement.

Qualifications

• Must have prior evaluation, annotation, or human-rater experience on PDF annotation/transcription evaluation tasks.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names issues and rubric clauses.

Responsibilities

• Evaluate PDF annotation transcription outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them for rubric updates.

Skills

Evaluation

Annotation

Inter-rater calibration

Rubric tagging

Linguistics background

Job description

PDF Annotation & Transcription Experts - Malayalam is a remote evaluation track for reviewing pdf annotation transcription experts malayalam 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: Frontier Model Evaluation · Pay: $13 / hr · Location: Remote — US-eligible · Contractor

PDF Annotation & Transcription Experts - Malayalam is a remote evaluation track for reviewing pdf annotation transcription experts malayalam evaluation prompts and responses against AuraOne's quality rubric.

About the role

PDF Annotation & Transcription Experts - Malayalam is a remote evaluation track for reviewing pdf annotation transcription experts malayalam 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 pdf annotation transcription experts malayalam 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 pdf annotation transcription experts malayalam evaluation model outputs against a versioned rubric and assign severity tags for PDF Annotation & Transcription Experts - Malayalam 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 $13 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on pdf annotation transcription experts malayalam evaluation or adjacent content for PDF Annotation & Transcription Experts - Malayalam 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 pdf annotation transcription experts malayalam 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

$13 / 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
• PDF Annotation Transcription Experts Malayalam 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.