Quality Control Specialist for AI/ML with Malay
Terry Soot
This role involves reviewing Display Transcription tasks for accuracy and consistency, correcting any formatting errors, with clear guidelines provided beforehand.
Last checked on September 8, 2026. We may earn a commission when you click through.
Quality Control Specialist for AI/ML with Malay
Terry Soot
Updated 13 hours agoYou'll be redirected to my.talent.com
This position is ideal for individuals passionate about quality assurance in AI/ML. However, the absence of salary information might deter some candidates, making it less attractive.
About this role
This role involves reviewing Display Transcription tasks for accuracy and consistency, correcting any formatting errors, with clear guidelines provided beforehand.
About the Company
Terry Soot is dedicated to ensuring quality in AI/ML projects, focusing on accuracy and efficiency in data processing.
Key Highlights
- ✓ Thorough training and clear guidelines provided
- ✓ Focus on accuracy and consistency in task reviews
- ✓ Opportunity to work in the growing AI/ML field
- ✓ Non-remote position based in Malaysia
- ✓ Involvement in quality assurance processes
💡 Honest Take: While the training is the non-remote nature of the job might be a drawback for those seeking flexibility. the lack of disclosed salary could be a red flag for some applicants.
Pros
- ✓ Structured training program
- ✓ Engagement in meaningful AI/ML work
- ✓ Potential for career growth in tech
- ✓ Focus on quality assurance
Cons
- ✗ Non-remote job may limit applicants
- ✗ Salary details not disclosed
- ✗ Requires strong attention to detail
- ✗ May involve repetitive tasks
Best For: Recent graduates or professionals in Malaysia looking for stable employment in quality assurance without remote work options.
Watch Out: The lack of salary transparency could lead to uncertainty during the application process.
You'll be redirected to my.talent.com
Expert Review
This role at Terry Soot is particularly focused on the accuracy of AI/ML transcription tasks, which means attention to detail is paramount. Successful candidates will benefit from structured training, allowing for a smoother transition into the responsibilities. However, potential applicants should be mindful that the position is not remote, which could limit opportunities for those who prefer flexible working arrangements.
without salary details being disclosed, candidates may need to negotiate without knowing the standard pay range for similar roles. Our team found that while the AI/ML sector is rapidly expanding, positions like this can involve repetitive tasks that may not be appealing to everyone. Overall, the role offers a chance to contribute to innovative projects but requires a commitment to quality assurance.
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