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Welo Global

Andromeda Delta – Audio Transcription Adjudicator V2 – Portuguese (Brazil)

AI Summary
This remote contract role adjudicates Portuguese (Brazil) speech transcription and word-level timestamp annotations. The adjudicator reviews disputed or ambiguous segments, listens to audio, and makes final decisions using a project style guide. Success depends on Portuguese listening accuracy, consistent application of detailed rules, and clear written rationales. The work is quality-focused and requires careful attention to edge cases and recurring annotator error patterns. It is suited to experienced transcription, linguistic QA, or annotation-review professionals.
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Remote from
Brazil
Salary
USD 9–9 / hour
Department
QA & Testing
Employment
Contract
Experience
Open level
Published
Apply before
13 Dec 2026
Listing views
27
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 Portuguese 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 8.93 /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

  • Portuguese language expertise ; 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

Apply now >

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

3/5
EasyHard

Pace & Pressure

3/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

3/5
IndependentCollaborative
AI insightThe work requires precise auditory judgment and consistent resolution of ambiguous linguistic cases. While the project guidelines provide structure, the adjudicator must independently make defensible final decisions.

Salary analysis

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

Estimated job median (per hour)Market rate
$8.93
US market range (per hour)$7–$12
AI insightThe employer explicitly states an hourly rate of USD 8.93. A reasonable estimated market range for remote Portuguese transcription adjudication and annotation QA work is USD 7–12 per hour, depending on project complexity and prior adjudication experience.

Core skills

Skills and capabilities most closely associated with this opportunity.

Portuguese language proficiencyAudio transcriptionSpeech data annotationAnnotation adjudicationLinguistic quality assuranceTimestamp annotationAudio reviewQuality controlStyle guide complianceError pattern analysisAttention to detailWritten rationale documentationIndependent decision-makingHeadset-based listening
Sample interview questions
How would you resolve a disputed word-level transcription when the audio is unclear?

I would replay the relevant segment, assess surrounding context, and apply the project style guide. If the audio remains ambiguous, I would select the option best supported by the evidence and document the rationale clearly.

What is your approach to maintaining consistency across a large volume of annotation decisions?

I use the style guide as the primary reference, keep notes on recurring edge cases, and periodically review prior decisions for alignment. This helps ensure that similar cases receive the same treatment.

How do you distinguish between a transcription error and a timestamp-boundary error?

A transcription error concerns the words represented in the text, while a timestamp-boundary error concerns where a word or segment begins and ends in the audio. I evaluate each dimension separately before making a final ruling.

How would you provide useful feedback after noticing a recurring annotator mistake?

I would identify the pattern, cite the relevant guideline, provide a concise example of the expected treatment, and explain the impact on data quality. Feedback should be specific, constructive, and actionable.

What tools or working conditions do you need to perform audio adjudication accurately?

I need a reliable internet connection, quality headphones, a quiet workspace, and access to the annotation platform and current project guidelines. These conditions allow for focused listening and reliable decisions.

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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