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Andromeda Delta – Audio Transcription Adjudicator V2 – Spanish (Spain)

AI Summary
This remote contract role adjudicates disputed Spanish speech transcriptions and word-level timestamp annotations. The adjudicator listens to audio, makes final decisions on ambiguous segments, and applies a detailed project style guide consistently. The position also requires documenting decision rationale and identifying recurring annotation-quality issues. It is suited to a Spanish-language specialist with transcription, linguistic review, or annotation QA experience. The expected workload is approximately 20–30 hours per week.
Remote from
Spain
Salary
USD 22–22 / hour
Department
QA & Testing
Employment
Contract
Experience
Open level
Published
Apply before
13 Dec 2026
Listing views
41
Application actions
2
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Opportunity details

About this role.

About the Role

We are looking for experienced Adjudicators to review and resolve discrepancies in word-level transcription and timestamp annotations for a Spanish speech data project. This role requires strong judgment to make final calls on flagged or disputed segments, ensuring quality and consistency across the annotation pipeline.

Project Details: Andromeda Delta

Engagement Type: Contract / Freelance

Rate: USD 21.9 /hour

Estimated Hours: 20-30 hours/week

Key Responsibilities

  • Review annotations flagged by first-pass Annotators for disagreement or ambiguity
  • Listen to audio clips and make final determinations on word-level segment boundaries and transcriptions
  • Apply the project style guide consistently to resolve edge cases
  • Provide clear rationale for adjudication decisions
  • Identify patterns in annotator errors and feedback quality observations where needed

Requirements

  • Spanish language expertise and excellent listening comprehension
  • Prior experience in transcription/annotation QA, adjudication, or linguistic review preferred
  • Strong ability to apply detailed guidelines consistently and make sound judgment calls
  • High attention to detail and comfort working with ambiguity
  • Reliable internet connection and quiet working environment with good headphones

Compensation

Additional Information

Job Reference: #L1-CC1

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

3/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

3/5
IndependentCollaborative
AI insightThe work demands highly accurate Spanish listening skills and consistent judgment on ambiguous linguistic and timestamping cases. Decisions are final and must follow detailed guidelines without close day-to-day supervision.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per hour)Market rate
$21.90
US market range (per hour)$18–$28
AI insightThe employer explicitly states an hourly rate of USD 21.9. A reasonable estimated market range for remote Spanish transcription adjudication and linguistic QA work is USD 18–28 per hour, depending on experience, project complexity, and annotation specialization.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you resolve a transcription segment where the audio is unclear and two annotators selected different words?

I would replay the relevant audio at appropriate speeds, review the surrounding context, and apply the project style guide’s rules for uncertainty or unintelligible speech. I would document the rationale for my final decision so that the outcome is consistent and auditable.

What methods do you use to maintain consistency across many annotation decisions?

I keep the style guide readily available, maintain notes on recurring edge cases, and periodically compare similar decisions for alignment. When a new pattern appears, I apply the established rule consistently and flag it for broader quality feedback if needed.

How do you assess whether a word-level timestamp boundary is correct?

I listen closely for the onset and offset of the spoken word, account for pauses and coarticulation, and follow the project’s timestamp conventions. I focus on reproducible boundaries rather than subjective impressions.

Describe your approach to providing feedback on repeated annotator errors.

I would identify the pattern, cite representative examples, and connect the feedback directly to the applicable guideline. The feedback should be concise, constructive, and specific enough to help annotators avoid the same issue in future tasks.

How do you stay productive and accurate in a remote, part-time annotation project?

I work in focused review blocks with reliable equipment and a quiet environment, while taking brief breaks to prevent listening fatigue. I also perform regular self-checks on difficult cases to maintain accuracy throughout the assignment.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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