Welo Global: Project Cursa - Robot Manipulation Video Annotation QC (V2) — Philippines

About Welo Global

Welo Global is a language and content services group operating brands including Welocalize, Adapt Worldwide and Welo Data. It provides multilingual translation, localisation, data annotation and AI-training data services, drawing on a network of linguists and domain experts across many languages and programmes. Its employer feed lists remote linguist, data and programme roles connected with these language and AI-data services.

The position and its setting

Welo Global lists Project Cursa - Robot Manipulation Video Annotation QC (V2) in Philippines, under reference 9bd19b88-42a1-4681-9625-120ea954f16c. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Welo Data - AI Services
• Employment type: Freelance
• team: AI Service General Application

Responsibilities and work described

• A detail-oriented QC Reviewer to ensure the quality and consistency of robot manipulation video annotations produced by our annotation team
• You'll review labeled video segments against a detailed style guide and reference examples, catch errors or inconsistencies, and provide clear, constructive feedback to annotators
• This role is critical to maintaining the accuracy and reliability of training data used for robotics AI models
• Review: completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal)
• Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions, object identification, and contact/grasp details
• Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments
• Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over."
• Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing)
• Identify recurring errors or patterns of confusion among annotators and report them to the team lead for calibration purposes
• Delivery: specific, actionable feedback on rejected or revised annotations, referencing the style guide and reference examples
• Participate in periodic calibration sessions with the team and client to align QC standards with evolving guidelines or edge-case resolutions
• Maintenance: a QC log or tracking sheet documenting review outcomes, common error types, and annotator performance trends (as required by the project)

Essential requirements and candidate background

• Required:
• Written English and reading comprehension — you'll be evaluating precise, nuanced language choices, not just checking for typos
• Attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event)
• Grasp of spatial/mechanical description (left/right, above/below, object parts like handles, lids, edges) to verify annotator accuracy
• Apply a detailed, structured style guide consistently and make sound judgment calls in ambiguous or edge-case scenarios
• Comfort giving clear, specific, and constructive feedback to annotators (written feedback, not just pass/fail marks)
• Reliable, self-directed work habits, with the ability to work independently while meeting review turnaround expectations

Experience and professional background

• Prior experience in a QC, editing, proofreading, or annotation review role

Preferred experience and additional strengths

• Experience: video annotation, data labeling, or transcription QA specifically
• Familiarity: robotics terminology (grippers, end-effectors, manipulation)
• Experience: annotation tools such as Label Studio, including review/approval workflows
• #L1-CC1

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: Remote
• Advertised location: Philippines

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Project Cursa - Robot Manipulation Video Annotation QC (V2) vacancy is not an offer for reference 9bd19b88-42a1-4681-9625-120ea954f16c; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Welo Global

Applications follow the official employer page linked below. The source includes these application-specific points:

Open the official Welo Global posting below and match the title and reference 9bd19b88-42a1-4681-9625-120ea954f16c.

Compare your qualifications and experience with the essential conditions for the Philippines position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

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Practical preparation: AI

An AI-related example should make the task and evaluation explicit. Explain the inputs, the system’s intended output and how you checked errors, usefulness or reliability, rather than relying on the model name alone.

Relevant skills

• AI/ML
• AI
• training