Face Deduplication Collection
AI summary
Freelance data-collection project in Ghana to capture neutral selfies, head-pose images, and historical facial photos for TELUS machine-learning and facial recognition training. Submit at least 20 valid images for payment, with a recommended 30 to pass strict QC. No formal education required and applicants must be located in Ghana.
- Freelance data-collection task, no formal education required
- Submit at least 20 valid images for payment
- Recommended 30 images to pass strict QC
- Applicants must be located in Ghana
- Use a Gmail address when applying
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Confidential. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in part_time, technology, Data CollectionThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in KumasiThe vacancy is associated with this location.
- UnclearComfort with the Freelance contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Face Deduplication Collection evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to TELUS Digital AI Data Solutions and the role in Kumasi.
- Add concrete examples related to part_time, technology, Data Collection, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobberman Ghana; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- Jobberman Ghana
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Face Deduplication Collection role in part_time, technology?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Kumasi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research TELUS Digital AI Data Solutions before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
- T
- Face Deduplication Collection (freelance)
- TELUS Digital AI Data Solutions
- Software & Data
- 2 weeks ago
- New
- Kumasi & Ashanti Region
- Part Time
- Confidential
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- Language Requirement:
- English
- Applicant
- Location:
- Ghana
- Job descriptions &
Requirements
- The objective of this project is to collect a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images to support machine-learning research and facial recognition model training at TELUS.
- The focus is on capturing real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness. The collection includes:
- • Current Neutral Selfies – clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings.
- • Current Head-Pose Captures – selfies captured in assigned head directions to introduce pose variation.
- • Historical Images – older photos from participants’ galleries to capture natural aging and long-term appearance changes.
- To qualify for payment, you must submit a minimum of 20 valid images.
- The maximum payout is based on 24 accepted images. Due to the strict automated and manual Quality Control (QC) process, we strongly recommend submitting 30 images to help ensure that enough images remain valid after review
- Note:
- Please use a Gmail address as your primary account when applying for this project.
- Qualification path
- No specific
Education
- is needed to perform the project task.
- Interested? Click Apply!
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