Job Overview:
Join Workwarp, a pioneering AI data company, as a Remote AI Model Training Engineer and be part of a dynamic team that’s revolutionizing the field of artificial intelligence. As a skilled engineer, you will play a crucial role in collecting, curating, and annotating AI data and code to train and evaluate AI models, ensuring accurate and high-quality outputs.
Key Highlights:
- Flexible working options: part-time (minimum 20 hours/week) or full-time, with a fully remote setup
- Competitive compensation: USD 15 – USD 25 per hour, depending on your skill set
- Opportunity to work with a fast-growing AI data company, advancing the development of AI applications
- Collaborative and dynamic environment, with a focus on innovation and growth
Ideal Candidate:
We’re looking for skilled engineers with a strong background in software engineering, proficient in programming languages such as Java, C, C++, Python, Go, SQL, Node React, TypeScript, and/or MongoDB. You should have experience working in dynamic environments, with excellent problem-solving and communication skills. As a self-motivated and goal-oriented individual, you should thrive in a fully remote team environment.
Responsibilities:
- Collect, curate, and annotate AI data and code to train and evaluate AI models
- Review prompts and refine code as needed to ensure accurate and high-quality outputs
- Enhance response accuracy and improve overall system performance
- Collaborate with the team to deliver high-quality AI solutions
What We Offer:
- Flexible working hours and remote setup
- Competitive compensation and benefits
- Opportunity to work on innovative projects and contribute to the growth of the company
- Collaborative and dynamic environment, with a focus on professional growth and development
How to Apply:
Shortlisted candidates will be invited to participate in a one-hour coding challenge, followed by a final interview. If you have the skills and passion we’re looking for, please submit your application today.
Apply Now and Unlock Your Potential in AI Innovation
