Remote Actuarial Analyst — AI Model Evaluation & Testing

DataAnnotation

Massachusetts

On-site

USD 45,460 - 64,747

Part time

14 days+

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Benefits offered by this job

Choose your projects
Work from home
Hourly pay starting at $40+

Job summary

DataAnnotation is seeking an Actuarial Analyst in Massachusetts to assist in training AI models. The role allows for flexible project selection and schedules, enabling you to work from home at your convenience.

Key responsibilities include evaluating AI model outputs and addressing complex mathematics tasks. Candidates should be fluent in English and detail-oriented, with a strong proficiency in various mathematical disciplines. Payment is made via PayPal, and only U.S.-based applicants will be considered.

Qualifications

  • Fluency in English (native or bilingual level).
  • Detail-oriented.
  • Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning.
  • A current, in progress, or completed Master's and/or PhD is preferred but not required.

Responsibilities

  • Give AI chatbots diverse and complex mathematics problems and evaluate their outputs.
  • Evaluate the quality produced by AI models for correctness and performance.

Skills

Fluency in English
Detail-oriented
Proficient in data science
Proficient in arithmetic
Proficient in algebra
Proficient in geometry
Proficient in calculus
Proficient in probability
Proficient in statistics
Proficient in inductive/deductive reasoning

Education

Master's and/or PhD

Job description

DataAnnotation is seeking an Actuarial Analyst in Massachusetts to assist in training AI models. The role allows for flexible project selection and schedules, enabling you to work from home at your convenience.

Key responsibilities include evaluating AI model outputs and addressing complex mathematics tasks. Candidates should be fluent in English and detail-oriented, with a strong proficiency in various mathematical disciplines. Payment is made via PayPal, and only U.S.-based applicants will be considered.

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