Data collector for AI training project
Henok Tadele Addis Ababa · ETHIOPIA · Remote Posted 6h ago
About this role
Data Collector Wanted — AI Training Project
We are looking for reliable and detail-oriented Data Collectors to join our AI training project.
The role involves collecting and preparing high-quality, standardized meeting and video data that will be used to train and evaluate AI models. You will work remotely with our product and engineering teams and follow clearly defined data-collection procedures.
Previous AI experience is helpful but not required. What matters most is your ability to follow instructions carefully, maintain consistent data quality, and dedicate enough time to the project.
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Budget & Benefits
Budget: 8,000 for the first month
Compensation may be adjusted after the first month based on the quality and consistency of your work.
Contract Type: Monthly
Work Type: Remote
Working Time: Approximately 5–6 hours per day
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Responsibilities
- Collect high-quality and standardized data for AI training.
- Record or prepare data according to the provided guidelines and scenarios.
- Ensure collected data meets required quality, format, and completeness standards.
- Organize and properly label collected files and related information.
- Review collected data before submission and correct any quality issues.
- Follow data-collection procedures consistently across different recording sessions.
- Collaborate remotely with our product and engineering teams on requirements and improvements.
- Report technical or data-quality problems encountered during collection.
Meet agreed daily and weekly data-collection targets.
- Maintain confidentiality and follow project privacy and data-handling requirements.
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Requirements
- Willing and able to work approximately 5–6 hours per day.
- Good attention to detail and ability to follow written instructions precisely.
- willing to attend daily meeting(30min- 1hr)
Reliable internet connection.
- Access to a suitable smartphone, camera, or computer depending on the assigned data-collection task.
- Basic computer skills and ability to upload, organize, and manage files.
- Ability to communicate clearly with a remote team.
- Consistent availability and ability to meet deadlines.
- Ability to identify obvious recording-quality problems such as poor lighting, incorrect camera angles, missing content, or unclear audio.
- Willingness to learn and follow new data-collection standards as the project develops.
Preferred Qualifications(not mandatory if you're willing to learn)
- Previous experience with data collection, annotation, AI training datasets, video recording, or quality assurance.
- Basic understanding of AI, machine learning, computer vision, or robotics.
Experience working with structured datasets or following technical documentation.
- Familiarity with cloud storage and collaboration tools such as Google Drive, Dropbox, or similar platforms.
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What We Are Looking For
We are looking for people who are reliable, consistent, detail-oriented, and committed to producing high-quality data.
The quality of the collected data directly affects the performance of our AI models, so following the provided instructions and maintaining consistent recording standards is extremely important.
If you are interested in working on an AI training project and can dedicate 5–6 hours per day, we would be happy to hear from you.
How to Apply
Please send us:
1. A short introduction about yourself.
2. Your current availability.
3. Your experience with data collection, video recording, annotation, AI, or similar work, if any or if you're willing to learn if not
4. The type of smartphone(brand and model) that you have
5. Confirmation that you can dedicate approximately 5–6 hours per day to the project
6. confirmation you can attend the daily meeting
7.Address
please contact us on telegram username: @x_howe
Applications that does not adress the above 7 points will not be considered
Shortlisted applicants will receive additional information about the data-collection process and quality requirements.
Skills & tags
- Video Capture
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