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Ai Math Training Jobs in Indiana (NOW HIRING)

... training can easily find connections to. Understand stakeholders' requests and hidden issues and ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

... training can easily find connections to. Understand stakeholders' requests and hidden issues and ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Ensure proper data handling, model training infrastructure and deployment. Authorities: Not ... Educational Experience - Bachelor's degree in Computer Science, Data Science, Mathematics ...

Establishes and maintains the CI/CD/CT (Continuous Integration/Delivery/Training) pipelines ... Master's or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent ...

AI Solutions Architect

Indianapolis, IN

$60.25 - $79.25/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science ... and training; licensure and certifications; and other business and organizational needs. The ...

Entry Level Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

... Mathematics * Proficiency in Python, Gen AI, LLMs, SageMaker, Snowflake, Computer Vision, Data Visualization Tools If you're currently lacking some of these skills, explore our specialized training ...

Data Engineer

Austin, IN

$135K - $155K/yr

... training and inference, and retrieval-augmented generation (RAG) systems. Responsibilities ... Ensure implemented data and AI systems have relevant security, privacy, and data-governance ...

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Ai Math Training information

What are some common challenges faced in an AI Math Training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are the key skills and qualifications needed to thrive in the Ai Math Training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What is an AI Math Training job?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What are the most commonly searched types of Ai Math Training jobs in Indiana? The most popular types of Ai Math Training jobs in Indiana are:
What are popular job titles related to Ai Math Training jobs in Indiana? For Ai Math Training jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Math Training jobs in Indiana look for? The top searched job categories for Ai Math Training jobs in Indiana are:
Infographic showing various Ai Math Training job openings in Indiana as of June 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Data Science & Analysis - AI Training - Indianapolis, US

Prolific Academic Ltd

Indianapolis, IN โ€ข On-site, Remote

$80/hr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Data Science & Analysis - AI TrainingAbout Prolific

Prolific is not just another player in the AI space โ€“ we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.
  • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering.
  • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently.
  • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations.
  • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail.
  • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions.
  • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly.
  • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models.
  • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior.
Key Technologies
  • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
  • Data Querying: advanced SQL for complex data extraction and manipulation.
  • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn.
  • Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation โ€“ one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.