Face Deduplication Collection
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TELUS Digital AI Data Solutions is recruiting participants in Ghana for a part-time facial-image data-collection project supporting machine-learning and facial-recognition research. Contributors submit current neutral selfies, head-pose captures and historical facial images, with compensation of $0.55 USD per accepted image after quality control.
- Part-time remote data-collection project based in Ghana
- Compensation of $0.55 USD per accepted image after QC
- Submit at least 20 valid images; 30 recommended for payout
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TELUS Digital AI Data Solutions is recruiting participants in Ghana for a part-time facial-image data-collection project supporting machine-learning and facial-recognition research. Contributors submit current neutral selfies, head-pose captures and historical facial images, with compensation of $0.55 USD per accepted image after quality control.
- Part-time remote data-collection project based in Ghana
- Compensation of $0.55 USD per accepted image after QC
- Submit at least 20 valid images; 30 recommended for payout
- No specific education or experience required
- Application is via the company site using a Gmail address
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 Salary negotiable. 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, tempo_parcial, technologyThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in GhanaThe vacancy is associated with this location.
- UnclearComfort with the Part Time 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 and the role in Ghana.
- Add concrete examples related to part_time, tempo_parcial, technology, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Others; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Others
- 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, tempo_parcial?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Ghana under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research TELUS 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
Salary negotiable
Vacancies
1
Open
Job Type: Part-time
Ghana
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Job Description
- 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 project focuses on capturing real-world variation across:
- Lighting
- Poses
- Expressions
- Accessories
- Environments
- Aging
- This is intended to help improve model accuracy and robustness.
- Image Collection
Requirements
- The collection includes:
- Current Neutral Selfies
- Clean frontal selfies that serve as high-quality identity references, while allowing 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 used to capture natural aging and long-term appearance changes.
- Submission
- 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, it is strongly recommended that participants submit
- 30 images
- to help ensure that enough images remain valid after review.
- Compensation
- The project compensation rate is:
- $0.55 USD per accepted image
- Important Note
- Please use a
- Gmail address
- as your primary account when applying for this project.
- Qualification Path
- No specific
Education
is required to perform the project task.
Recommended JobHub Ghana Category
Primary Category:
Data, Analytics & Business Intelligence
Recommended Subcategory:
Data Collection / AI Training Data
Useful tags:
AI Training, Data Collection, Facial Images, Machine Learning, Computer Vision, Image Dataset, Face Recognition, Data Annotation, Remote Project
.
Skills
Machine Learning
Data Collection
Data Annotation
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Job Overview
Salary negotiable
Vacancies
1
Open
Job Type: Part-time
Ghana
Apply on Company Site
Want to track your applications, save jobs, and get alerts?
Create a free account
About the Employer
TELUS Digital AI Data Solutions
View Company Profile
Apply on Company Site