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Quantitative Researcher
Job summary
A data annotation firm is seeking a Quantitative Researcher to train AI models and analyze large datasets. This position is remote and offers flexible scheduling, with compensation starting at $40+ per hour along with bonuses for high-quality work. Ideal candidates should have fluency in English and a detail-oriented mindset, and a background in mathematics and computer science is preferred.
Benefits
Qualifications
- Fluency in English (native or bilingual level).
- Detail-oriented approach to tasks.
- Demonstrated expertise in using math and computer science to generate insights.
Responsibilities
- Train AI models and measure the progress of AI chatbots.
- Analyze large datasets to improve model quality.
Skills
Education
Join to apply for the Quantitative Researcher role at DataAnnotation.
- Train AI models and measure the progress of AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
- Hold expert understanding of large dataset analysis. Apply skills in Mathematics and/or Statistics as related.
- This is a full-time or part-time REMOTE position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
- Fluency in English (native or bilingual level)
- Detail-oriented
- Demonstrated expertise in using math and computer science to build algorithms, test strategies, and extract actionable insights
- A current, in progress, or completed Masters and/or PhD is preferred but not required
- Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD.
- Only applicants in the United Kingdom will be considered for this role.
- This is an independent contract position.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.