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Welo Data
Welo Data
27 open remote positions
Welo Data provides AI services, including data annotation and labeling for machine learning models. As part of the AI Services team, they focus on supporting speech-to-speech AI model training with accurate transcription and audio review.
Salary Distribution
26 of 27 jobs
Benefits Overview
2 of 27 jobs
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Open Positions
Review pre-segmented audio recordings and verify word-level segment accuracy for speech-to-speech AI model training. Correct timestamp or transcription errors and flag tasks for discard per defined criteria. Maintain consistency and accuracy across a detailed, evolving style guide.
English Fluency
Data Annotation
Review and curate Swedish written and audio content following client guidelines and SOPs. Validate metadata and escalate issues to team leads with clear evidence. Manage assigned queues to meet throughput and SLA requirements.
Attention To Detail
MS Office
Time Management
Listen carefully to short audio clips in Portuguese (Brazil). Verify and correct word-level timestamp and segment boundaries from an automated system. Review and correct spoken-form transcriptions following a detailed style guide.
Portuguese
Transcription
Data Annotation
Listening Comprehension
Attention To Detail
Evaluate Arabic (Egypt) claims for accuracy using reliable sources and evidence. Research and validate information, assess source credibility, and document findings. Work independently on a freelance basis to improve AI-generated information quality.
Research
Fact Checking
Analytical Thinking
Documentation
Arabic
Execute manual frontend QA tests for a web onboarding workflow following documented runbooks. Validate form behavior, cross-browser UI, and client-side validation rules while documenting defects. Produce structured evidence and collaborate with QA leads to refine test processes.
Provide end-to-end technical governance across frontend, middleware, and backend testing layers for a multi-layered onboarding platform. Own architecture of API contract testing and data modeling for complex entity relationships, ensuring quality assumptions are verified at every downstream layer. Act as escalation point for cross-layer technical discrepancies, compile evidence dossiers, and prepare technical handoff packages for client stakeholders.
API Testing
Test Automation
Data Modeling
Stakeholder Management
Design and execute advanced exploratory testing to uncover issues not captured by scripted test cases, especially around form validation and submission behavior. Apply boundary testing and equivalence partitioning to identify edge-case failures across frontend input handling and middleware calls, and validate state transitions against FSM models. Lead defect triage sessions, partner with developers to clarify root causes, and mentor junior QA testers on structured test design.
QA
Analyze distributed system APIs to validate correctness, consistency, and failure handling across services. Execute pre-approved request variations and boundary-validation scenarios against staging endpoints. Capture complete request/response evidence and document system behavior under unexpected inputs.
API Testing
Distributed Systems
Scripting
Design and maintain automated API test suites for gRPC-Web, Proto3, HTTP/2, and JSON-RPC/REST services. Inspect and reconstruct network traffic using proxy tools and export sanitized HAR evidence for backend validation. Develop Python, Postman, and cURL scripts for API functional and regression testing.
Python
Postman
Leads program strategy and delivery for AI training data projects, owning client relationships and governance. Manages cross-functional teams, capacity, budgets, and quality outcomes with the Lead Quality Manager. Drives process improvement, automation, and risk management to meet high-volume operational targets.
Program Management
Team Leadership
Client Relationship Management
Vendor Management
SQL
Evaluate conversations between users and AI voice agents by listening to recorded interactions. Rate each AI agent turn on two 1-5 scales: content quality and prosody naturalness. Provide clear, specific written justifications for each rating given.
Listening
Attention To Detail
Communication
Consistency
Evaluate conversations between users and AI voice agents for content quality and prosody. Rate each AI agent turn on a 1–5 scale and provide written justification. Maintain consistent, well-reasoned ratings with strong attention to detail.
Listening
Attention To Detail
Rating
Written Communication
Consistency
Listen to recorded conversations between users and AI voice agents to evaluate response quality. Rate each agent turn on two scales: content helpfulness and prosody naturalness. Write short, specific justifications for each score given.
Listening
Attention To Detail
Written Communication
Consistency
Evaluation
Listen carefully to recorded conversations between a person and an AI voice agent. Rate each of the agent's turns on two independent 1–5 scales for content and prosody. Write a short, specific, and clear justification for each score given.
Listening
Attention To Detail
Written Communication
Consistency
Rating
Audit 30% of production output during the pilot phase to ensure rating quality and consistency. Identify and flag miscalibration or inconsistent scoring across raters. Provide clear, actionable feedback and corrections to raters.
QA
Auditing
Attention To Detail
Pattern Recognition
Feedback
Record scripted and unscripted speech in a natural, conversational tone during two supervised 4-hour sessions. Set up a quiet, echo-free recording space and use a professional-grade microphone and closed-back headphones. Deliver all recordings in the required dialect of English (South Africa) without code-switching.
Voice Acting
Audio Recording
Listen carefully to recorded conversations between a person and an AI voice agent. Rate each agent turn on two 1–5 scales: Content (helpfulness/relevance) and Prosody (naturalness/expressiveness). Write short, specific justifications for each score given.
Listening
Attention To Detail
Written Communication
Consistency
Audit 30% of production output to ensure rating quality and consistency during the pilot phase. Identify and flag miscalibration or inconsistent scoring across raters. Provide clear, actionable feedback and corrections to raters to maintain alignment.
Attention To Detail
Pattern Recognition
Feedback Articulation
Independent Work
Audit 30% of production output to identify and flag miscalibration or inconsistent scoring across raters. Provide clear, actionable feedback and corrections to raters to ensure rating quality and consistency. Complete onboarding and training ahead of the production pool's rollout to maintain alignment.
Attention To Detail
Quality Assurance
Auditing
Pattern Recognition
Feedback Articulation
Audit 30% of production output during the initial pilot phase to ensure rating quality and consistency. Identify and flag miscalibration or inconsistent scoring across raters, providing clear feedback. Complete onboarding and training ahead of the production pool's rollout while working independently.
Attention To Detail
Pattern Recognition
Feedback Articulation
Auditing
Rating
Audit 30% of production output to ensure rating quality and consistency during the initial phase. Identify miscalibration or inconsistent scoring across raters and flag issues early. Provide clear, actionable feedback and corrections to raters to maintain alignment.
Attention To Detail
QA
Auditing
Feedback
Pattern Recognition
Audit 30% of production output during the pilot phase to ensure rating quality and consistency. Identify and flag miscalibration or inconsistent scoring across raters. Provide clear, actionable feedback and corrections to raters.
Attention To Detail
Pattern Recognition
Feedback
QA
Rating
Facilitate live, supervised voice recording sessions for a multilingual conversational AI project. Provide real-time participant coaching and monitor technical quality throughout each session. Complete approximately 8 hours of calibration prior to production and independently support recording sessions.
Coaching
Manage session facilitation, real-time coaching, and recording quality monitoring. Complete 8 hours of calibration before production. Support recording sessions independently and resolve technical issues.
Coaching
Voice Recording
QC and sync Hindi lyrical content, editing metadata to meet style guidelines. Evaluate content quality, identifying issues and inconsistencies within large volumes. Collaborate with local and international teams to improve product quality and user experience.
Hindi
English
Quality Control
Research
Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation. Build quick scene context and improvise to fill narrative gaps, keeping sessions flowing naturally. Monitor and correct technical audio quality in real time, ensuring mic technique, pacing, clarity, and background noise are optimal.
Coaching
Improvisation
Record a single 15–20 second video in your native Arabic dialect, speaking naturally and looking directly at the camera. Ensure the video meets all specifications: 1080p resolution, head-and-shoulders framing, well-lit face, and no background noise or filters. Complete a brief screening and answer a few demographic questions to help organize the dataset.