Floor Plan (Polygon Annotation)

Chemin

Join Kaya by Chemin Sdn Bhd to annotate architectural floor plans for AI development. This part-time role focuses on polygon annotation.

Last checked on August 16, 2026. We may earn a commission when you click through.

This project is ideal for individuals looking for flexible part-time work in the AI field, especially those passionate about technology. However, the absence of salary details could be a back for many.

✓ Flexible working hours ✓ Opportunity to work in AI ✓ No experience needed

Floor Plan (Polygon Annotation)

Chemin

Updated 8 days ago

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Malaysia Part Time

About this role

Join Kaya by Chemin Sdn Bhd to annotate architectural floor plans for AI development. This part-time role focuses on polygon annotation.

About the Company

Chemin specializes in AI data collection and annotation, fostering community contributions to advance technology.

Key Highlights

✓ Part-time opportunity with flexible hours
✓ Contribute to cutting-edge AI projects
✓ Work remotely from Malaysia
✓ No prior experience required

💡 Honest Take: While the role offers flexibility, the lack of disclosed salary might deter some applicants who need clearer financial expectations. It's essential to inquire about the payment structure during the application process.

Pros

✓ Flexible working hours
✓ Opportunity to work in AI
✓ No experience needed
✓ Remote work available

Cons

✗ Salary not disclosed
✗ Limited details on project duration
✗ Potentially high competition for spots
✗ No clear career advancement opportunities

Best For: This role is suitable for anyone interested in contributing to AI projects and looking for a side gig that fits around their main commitments.

Watch Out: The lack of salary transparency may lead to frustration if compensation does not meet expectations.

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Expert Review

This part-time project with Chemin offers a unique entry point into the AI sector. Contributors will engage in annotating floor plans, which is integral to developing AI models. The role is appealing for those seeking to build skills in data annotation without needing extensive experience.

However, the absence of salary information is a notable drawback. Potential applicants should clarify compensation details before committing, as this can influence overall job satisfaction. Freelancers and students can benefit from the flexible hours, but those needing stable income may find this uncertain.

In terms of support and resources, applicants should prepare for limited guidance since most tasks are self-directed. This is a great opportunity to gain experience but may not suit everyone, especially if they are looking for structured training or mentorship. Interested individuals can find more details on the company's official page.