Contribute human expertise to AI training, evaluation or data work. Check the official source for project requirements.
About the role
Join our team on an exciting project focused on modern Artificial Intelligence development and machine learning training. This role offers an excellent entry point into the IT industry, allowing you to work with cutting-edge technology, learn new skills, and contribute to AI advancement-all from the comfort of your home.
No prior experience is required-we provide full onboarding and training to set you up for success!
Location: Remote
Employment Type: Full-Time or Part-Time (Flexible Schedule)
Project Duration: ~3 months (with potential transition to long-term company projects)
Compensation: Fixed rate of $1.60 / hour
Key Responsibilities
Data Annotation: Label, tag, and annotate objects, text, or visual data according to strict parameters and project guidelines.
Quality Assurance: Review, verify, and assess the accuracy of datasets used to train AI models.
Standard Compliance: Consistently follow project rules, guidelines, and quality standards to ensure data integrity.
Qualifications and Skills
Attention to Detail and Focus: Ability to spot minor inaccuracies, follow complex instructions precisely, and stay committed to routine tasks.
Interest in AI and Technology: Strong desire to explore modern IT solutions and build a career in the artificial intelligence sector.
Analytical Mindset: Capacity to categorize data effectively, detect patterns, and apply logical reasoning.
Technical Requirements
Processor: Intel Core i3 (8th Gen or higher) / Intel Core i5 (6th Gen or higher) or equivalent AMD processor.
Memory: Minimum 8 GB RAM.
Internet: Stable, high-speed internet connection.
What We Offer
Full Onboarding & Training: Comprehensive mentorship and step-by-step guidance from day one.
Flexible Working Hours: Highly adaptable schedule-ideal for students, freelancers, or anyone looking to combine work with studies or other commitments. …
Official source: jobs.lever.co. Details can change; the platform's page is the final word. How we check listings.
