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Part Time Train Ai Jobs (NOW HIRING)

Ensure academic rigor and scientific precision in all chemistry-related content used to train or ... Commitment: Part-time (~20 hours/week), with potential to extend to 40 hours/week * Schedule: Fully ...

... train their AI models. Have you been curious as to how LLMs generate expert answers and would you ... Work type: Part-time Industry: Internet and Artificial Intelligence You would not be employed ...

... train their AI models. Have you been curious as to how LLMs generate expert answers and would you ... Work type: Part-time Industry: Internet and Artificial Intelligence You would not be employed ...

Build and train AI/ML models for replication for future projects * Deploy andmaintainthe data ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

... train their AI models. Have you been curious as to how LLMs generate expert answers and would you ... Work type: Part-time Industry: Internet and Artificial Intelligence You would not be employed ...

Build and train AI/ML models for replication for future projects * Deploy andmaintainthe data ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

No prior AI/ML experience is required - we'll train you on the workflow. Requirements What you'll ... Commitment: Part-time (15-25 hours/week, with flexibility up to 40 hours/week) We consider all ...

Design and review challenging physics problems used to train and evaluate advanced AI models ... Schedule: Part-time (up to 20 hours per week) * Work Arrangement: Fully Remote * Compensation:

AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

Mathematics Researchers (Part-time) Type: Contract Compensation: $90-$150/hour Location: Remote ... Author and review challenging mathematics problems to train and evaluate frontier AI models

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Part Time Train Ai information

What is the difference between Part Time Train Ai vs Part Time Data Annotator?

AspectPart Time Train AiPart Time Data Annotator
Required CredentialsBasic technical skills, training in AI toolsAttention to detail, training in annotation software
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, data-focused
Employer & Industry UsageAI companies, tech startupsTech firms, AI development teams
Common Search & ComparisonYesYes

Part Time Train Ai involves training AI models through data input and machine learning tasks, often requiring some technical understanding. Part Time Data Annotator focuses on labeling data for AI training, emphasizing accuracy and attention to detail. Both roles are essential in AI development, but Train Ai roles typically involve more technical training, while Data Annotator roles focus on data labeling skills.

What is a part time train AI?

Part time train AI jobs involve working on projects that help develop, improve, or support artificial intelligence systems, typically by labeling data, evaluating AI outputs, or providing feedback on machine learning models. These roles are often remote and flexible, making them suitable for people looking to work around other commitments. Tasks may include categorizing images, transcribing audio, or reviewing text outputs from AI models to ensure accuracy and relevance. Part time train AI jobs are popular among students, freelancers, and those seeking supplemental income.

What are some typical challenges faced by part time train AI specialists, and how can they overcome them?

Part-time AI training specialists often face challenges such as managing large volumes of data labeling tasks within limited hours, adapting to shifting project guidelines, and ensuring high accuracy in their work. To overcome these, it's important to stay organized by breaking tasks into manageable sessions, actively communicate with project managers for clarifications, and regularly review provided guidelines. Collaborating with other team members through feedback channels and staying updated with training material revisions can also enhance efficiency and output quality.

What are the key skills and qualifications needed to thrive as a part time train AI?

To thrive as a Part Time AI Trainer, you typically need strong analytical skills, attention to detail, and a background in language, data annotation, or a related field. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or machine learning concepts is often required. Excellent communication, critical thinking, and the ability to follow detailed guidelines help individuals stand out in this role. These skills are crucial for ensuring high-quality data that directly impacts the performance and reliability of AI models.
More about Part Time Train Ai jobs

What are the most commonly searched types of Train Ai jobs?

The most popular types of Train Ai jobs are:

Infographic showing various Part Time Train Ai job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Mathematics Research Collaborator (Part-time)

Weekday AI

Remote

$80 - $110/hr

Part-time

Posted 19 days ago


Job description

This role is for one of our clients
Compensation: $80 - $110 per hour
Join a cutting-edge AI research initiative focused on advancing the next generation of mathematical reasoning systems. This opportunity is designed for accomplished mathematicians who are passionate about applying their research expertise to improve frontier AI models capable of solving complex mathematical problems at a professional research level.
Rather than working on textbook-style mathematics, you'll help train AI systems to reason across advanced areas such as number theory, algebra, algebraic geometry, topology, analysis, partial differential equations, probability, combinatorics, dynamical systems, logic, representation theory, mathematical physics, theoretical computer science, statistics, and related disciplines.
As part of a collaborative team of researchers, you'll contribute directly to the development of AI models that perform sophisticated mathematical reasoning.
Requirements
Key Responsibilities
  • Review and assess advanced mathematical research papers for correctness, originality, and rigor.
  • Design and evaluate challenging research-level mathematics problems used to train and benchmark AI models.
  • Analyze AI-generated proofs, derivations, formalizations, and problem-solving approaches for accuracy and mathematical soundness.
  • Identify subtle logical errors, missing assumptions, invalid proof steps, and reasoning flaws that require expert mathematical judgment.
  • Collaborate with fellow subject matter experts to ensure consistently high-quality training data and evaluation standards.
  • Provide detailed written feedback to improve AI reasoning and mathematical performance.

Required Qualifications
Candidates should meet several of the following criteria:
  • First-author or sole-author publications in leading mathematics journals such as:
    • Annals of Mathematics
    • Inventiones Mathematicae
    • Journal of the American Mathematical Society
    • Acta Mathematica
    • Duke Mathematical Journal
    • Communications on Pure and Applied Mathematics
    • Geometry & Topology
    • Journal of the European Mathematical Society (JEMS)
    • Geometric and Functional Analysis (GAFA)
    • Advances in Mathematics
    • Probability Theory and Related Fields
  • Candidates from adjacent disciplines with publications in premier venues such as STOC, FOCS, SODA, or Annals of Statistics are also encouraged to apply.
  • PhD or postdoctoral training in Mathematics or a closely related STEM discipline from a globally recognized institution.
  • Recognition through prestigious fellowships, scholarships, or honors, such as:
    • Clay Research Fellowship
    • NSF Graduate Research Fellowship
    • NSF Postdoctoral Fellowship
    • Sloan Research Fellowship
    • Packard Fellowship
    • Simons Fellowship or Simons Investigatorship
    • AMS Centennial Fellowship
    • Hertz Fellowship
    • Marshall or Rhodes Scholarship
    • New Horizons in Mathematics Prize
    • Salem Prize
    • Ramanujan Prize
  • Earlier-career applicants may instead demonstrate exceptional achievement through Putnam Fellow recognition or an International Mathematical Olympiad (IMO) medal.
  • Experience serving as Principal Investigator or Co-Investigator on competitive research grants (e.g., NSF CAREER Award or equivalent).
  • Current or recent experience as a:
    • PhD candidate
    • Postdoctoral researcher
    • Faculty member
    • Research mathematician
    • Principal researcher
    • Industry research scientist

Outstanding senior PhD candidates and recent graduates with exceptional publication records are strongly encouraged to apply.
Engagement Details
  • Part-time engagement of up to 20 hours per week
  • Fully remote with flexible scheduling
  • Opportunity to collaborate with leading AI researchers on frontier mathematical reasoning projects
  • Compensation is competitive and based on research expertise, academic accomplishments, and professional experience.

Equal Opportunity
We welcome applications from qualified professionals regardless of legally protected characteristics and are committed to providing reasonable accommodations throughout the engagement process upon request.
Contract & Payment Terms
  • Engagement is offered on an independent contractor basis.
  • This is a fully remote opportunity that can be completed according to your own schedule.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work will not require access to confidential or proprietary information belonging to any current employer, client, or institution.
  • Payments are issued weekly through Stripe or Wise based on approved work completed.
  • Please note that H-1B visa holders and STEM OPT candidates are not eligible for this opportunity.