Macgence

AI training data services, data annotation, robotics, medical annotation

Quick facts

Company
Macgence
Service type
Data annotation / AI training data
Specialties
image, text
Hiring status
Check the company application page for availability
Website
Website
Careers
Careers page
Application guide source checked
Not yet verified

Application process overview

Macgence is a Noida, India-based AI training data and language services company offering translation, transcription, annotation, and crowd-as-a-service workforce solutions. It recruits contributors through its careers page and a crowd program that supports multilingual data collection and labeling projects for enterprise clients.

Key findings

Application Process: Candidates apply via macgence.com/our-company/jobs/ or the Crowd-as-a-Service signup; applications ask for language skills, location, and project preferences.<br><br>Assessments: Language proficiency checks and small trial tasks before assignment, particularly for transcription, translation, and audio collection projects.<br><br>Job Types / Expertise: Data annotation, translation, transcription, audio/video collection, project coordination; roles advertised as freelance or contract.<br><br>Compensation: Pay rates are project-specific and not publicly published; Trustpilot reviews cite timely payments, with occasional mentions of delays.<br><br>Flexibility: Remote and freelance options across many countries; tasks often time-boxed and short.<br><br>Challenges / Concerns: Limited public pay transparency, thin Glassdoor presence, and variable project volume; work depends on current client contracts.<br><br>Legitimacy: Real registered company, strong Trustpilot rating (around 5 stars with 190+ reviews), physical office in Noida, active public profile.

Conclusion

Macgence is a credible mid-size AI data vendor with a notably positive Trustpilot profile, which is uncommon in this space. It is a reasonable option particularly for multilingual contributors or those interested in short data-collection gigs. Because pay rates are not published publicly, applicants should confirm specifics per project. It is legitimate with a healthier review reputation than many peers, though opportunity flow is client-driven. Worth applying to if roles match.