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Remote Train Ai Jobs (NOW HIRING)

Turing

Growth Equity Analyst

San Francisco, CA · Remote

$100 - $200/hr

... train AI systems. If you enjoy solving complex problems in growth equity and are interested in ... Work on the cutting edge of AI and finance. * Fully remote and flexible work environment.

Turing

Private Equity Expert

Manhattan, NY · Remote

$100 - $200/hr

... train AI systems. If you enjoy solving complex problems in private equity and are interested in ... Work on the cutting edge of AI and finance. * Fully remote and flexible work environment.

Turing

Accounting Expert

Seattle, WA · Remote

$100 - $200/hr

... evaluate and train AI systems. If you enjoy solving complex problems in accounting and are ... Work on the cutting edge of AI and finance. * Fully remote and flexible work environment.

Turing

Investment Banking Expert

Seattle, WA · Remote

$100 - $200/hr

... and train AI systems. If you enjoy solving complex problems in investment banking and are ... Work on the cutting edge of AI and finance. * Fully remote and flexible work environment.

Turing

Financial Consulting Expert

Chicago, IL · Remote

$100 - $200/hr

... and train AI systems. If you enjoy solving complex problems in financial consulting and are ... Work on the cutting edge of AI and finance. * Fully remote and flexible work environment.

Turing

Portfolio Management Expert

Seattle, WA · Remote

$100 - $200/hr

... and train AI systems. If you enjoy solving complex problems in portfolio management and are ... Work on the cutting edge of AI and finance. * Fully remote and flexible work environment.

UserTesting

Founding AI Training Partnerships Manager

$61K - $76K/yr

As companies increasingly build and train AI systems, our technology, participant network, and ... Remote within the United States, with the ability to work primarily within U.S. time zones. Don't ...

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Remote Train Ai information

What is a remote train AI?

A Remote Train AI job typically involves working from home or another remote location to help develop and improve artificial intelligence systems. This can include tasks such as labeling data, providing feedback on AI-generated outputs, or training machine learning models by reviewing and correcting the AI's responses. People in these roles play a crucial part in making AI models more accurate, reliable, and useful for various applications. The job may not require advanced technical skills, making it accessible to a wide range of candidates. Remote Train AI roles are often offered by tech companies or AI research organizations.

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

To thrive as a Remote AI Trainer, you need a strong understanding of machine learning concepts, data annotation processes, and subject-matter expertise relevant to the AI system being trained, often supported by a degree in computer science or a related field. Familiarity with data labeling tools, annotation platforms, and collaboration software is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for ensuring high-quality data and clear feedback loops. These skills are vital to produce reliable, unbiased training data and facilitate the development of accurate AI models.

What are some common challenges faced when working remotely as a remote train AI, and how can they be addressed?

Working remotely as an AI Trainer often involves managing communication across different time zones and collaborating with team members from diverse backgrounds. Staying aligned on annotation guidelines and project objectives can be challenging without face-to-face interactions. To address these, it's important to leverage collaboration tools, participate in regular team meetings, and proactively seek clarification when needed. Maintaining organized documentation and establishing clear communication channels can also help ensure consistency and high-quality training data.

What is the difference between Remote Train Ai vs Data Annotator?

AspectRemote Train AiData Annotator
Required CredentialsBasic technical skills, training in AI data labelingNone or minimal; often on-the-job training
Work EnvironmentRemote, flexible hours, often part-time or freelancePrimarily remote, may vary by employer
Industry UsageAI development, machine learning projectsAI, computer vision, NLP projects
Common Search/ComparisonRemote Train AiData Annotator

Remote Train Ai and Data Annotator roles both involve labeling data for AI training, often remotely. Remote Train Ai may require some technical understanding and training, while Data Annotators typically need minimal credentials. Both roles are essential in AI development and are commonly found in similar work environments, making them frequently compared by job seekers.

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

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Remote Train Ai jobs near you
Infographic showing various Remote Train Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Mathematics Research Collaborator (Part-time)

Weekday AI

Remote

$80 - $110/hr

Part-time

Re-posted 10 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.

Apply