Macedonian Language Expert

AI Trainer Jobs; United States; Remote; USD 28,000 - 55,000; Full time

Job summary

AI Trainer Jobs seeks a Macedonian Language Expert to remotely review prompts and responses against our quality rubric. You will compare paired outputs, assign severity tags, and write structured feedback for retraining.

Ideal candidates have prior Macedonian evaluation or annotation experience, strong writing skills, and the ability to work asynchronously for at least 10 hours weekly. This is a contractor role with hourly pay to be confirmed after interview.

Qualifications

• Experience evaluating Macedonian language data and annotating outputs.
• Clear written reasoning that names the issue and the rubric clause.
• Ability to apply rubrics consistently across long batches.
• Comfort working asynchronously with at least 10 hours per week.

Responsibilities

• Evaluate outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations and unsafe content with structured tags.
• Capture ambiguous prompts and route issues for rubric updates.
• Maintain reviewer-quality scores through calibration with gold-standard examples.

Skills

Macedonian language evaluation

Annotation experience

Inter-rater calibration

Rubric-based evaluation

Tools

Rubric-based tools

Job description

Macedonian Language Expert is a remote evaluation track for reviewing macedonian language 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: Hourly rate confirmed after the interview process Location: Remote — US-eligible Contractor

Role details

About the role

Macedonian Language Expert is a remote evaluation track for reviewing macedonian language 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 macedonian language 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 macedonian language evaluation model outputs against a versioned rubric and assign severity tags for Macedonian Language Expert 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 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 macedonian language evaluation or adjacent content for Macedonian Language Expert 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 macedonian language 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
• Macedonian Language 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.