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Be ready to show careful attention to instructions, sample labeling consistency, and how you handle ambiguous cases. Expect questions on availability, tools you’ve used, quality vs. speed tradeoffs, and examples of following detailed guidelines without inventing labels.
Best fit if you want flexible freelance annotation work with Mindrift, can work carefully from Singapore without a remote flag on the listing, and prefer structured labeling tasks over client-facing or engineering-heavy AI roles.
As a freelance AI Trainer / Data Annotator with Mindrift, a typical day is task-driven: open assigned batches, follow project guidelines, label or rate text/image/audio (or similar) examples, flag edge cases, and submit work for quality review. Expect short feedback loops, quota or accuracy targets, and limited fixed office structure—more self-paced annotation than a traditional full-time Singapore site role.
Prioritize clear written English, careful reading of rubrics, consistent labeling, and comfort with web annotation tools. Domain knowledge (e.g. language, vision, or safety policies) helps when projects require judgment. No certification list was supplied for this role family.
The listing is freelance annotation with Mindrift and is not marked remote; treat location as Singapore-based work setup unless the employer states otherwise in the full posting.
You apply project rules to data—labeling, ranking, or correcting examples—so models can learn from high-quality human signals.
No specific cert family or paid courses were provided for this listing; focus on accuracy, guideline adherence, and tool fluency instead.
AI Trainer - Freelance Data Annotator at Mindrift - Data annotation in Singapore What This Role Involves The role of an AI Trainer involves working as a part-time, on-site data annotator for the Toloka platform. Your task will be to contribute to training and improving artificial intelligence by accurately labeling and categorizing data sets. This is crucial in unlocking the full potential of AI through real-world human input. Responsibilities Accurately annotate diverse datasets according to predefined guidelines Ensure consistency and quality in annotations for AI training purposes Work on projects from leading tech innovators, contributing to Generative AI initiatives Collaborate with a global community of annotators to maintain high standards Requirements Fluent English language skills for clear communication and task understanding Detailed-oriented mindset for precision in data annotation tasks Aptitude for working independently while adhering to project timelines Ability to handle sensitive information with confidentiality More About Mindrift - Data annotation Mindrift - Data annotation is dedicated to connecting smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. Our mission is to involve real people in AI projects, ensuring that the technology reflects human values and perspectives. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. Your resume should be submitted in English, indicating your level of English proficiency. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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