About DataAnnotation
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Industry
Computing infrastructure providers, data processing, web hosting and data services
Company size
10,000+ Employees
Headquarters location
New York, NY, US
$40/hr
Full-time, Part-time, Contractor, Internship
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Job description
We are looking for a Graduate Research Intern, Mathematics to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning.
Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science. Benefits 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 Responsibilities Give AI chatbots diverse and complex mathematics problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Notes 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 States will be considered for this role. This is an independent contract position.
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dataannotation.tech
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Research Intern?
A: To succeed as a Research Intern, key technical skills include proficiency in data analysis and statistical software (e.g., R, Python, or SPSS), as well as knowledge of research methodologies and academic databases. Soft skills such as strong communication, teamwork, and problem-solving abilities are also crucial, enabling interns to effectively collaborate with researchers, present findings, and adapt to new challenges. By combining these technical and soft skills, Research Interns can develop a strong foundation for a career in research and academia, or transition into related fields like data science or policy analysis.
Q: What is the career path for a Research Intern?
A: A Research Intern typically progresses through a career path that includes entry-level roles such as Research Assistant or Data Analyst, where they develop skills in data collection, analysis, and interpretation. Mid-level roles like Research Scientist or Business Analyst involve applying research findings to inform business decisions, while senior roles like Senior Research Scientist or Director of Research require leadership and strategic planning. Throughout their career, Research Interns can develop skills in data analysis, statistical modeling, communication, and project management, which can lead to long-term career prospects in academia, industry, or government, including roles in policy-making, consulting, or entrepreneurship.
