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Entry Level Ai Math Training Jobs (NOW HIRING)

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Machine Learning Engineer

Dallas, TX · On-site

$30 - $40/hr

Entry-Level AI/ML Developer Fulltime Candidate must be open to relocate We are looking for a ... Implement data pipelines for model training and inference. * Evaluate model performance and ...

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Outlier

Math Expertise for AI Training

Develop and answer Math-related questions to refine AI understanding * Evaluate and author complex reasoning traces to ensure models follow logical, step-by-step proofs * Assess and rank AI responses ...

Unconventional AI

AI Systems, Training

... platform and optimizing training systems for advanced AI models and hardware platforms ... Applied Math. • Veteran of the modern ML software stack. Demonstrated ability to map ...

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Entry Level Ai Math Training information

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$29.5K

$48.8K

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How much do entry level ai math training jobs pay per year?

As of Jul 30, 2026, the average yearly pay for entry level ai math training in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ai Math Training vs Data Analyst?

AspectEntry Level Ai Math TrainingData Analyst
Required CredentialsBasic math, introductory AI concepts, possibly online coursesBachelor's in statistics, mathematics, or related field
Work EnvironmentTraining programs, online platforms, workshopsOffice settings, data centers, remote work
Industry UsageFoundational AI skills for entry rolesAnalyzing data, creating reports, supporting decision-making

Entry Level Ai Math Training provides foundational AI and math skills for beginners, often through online courses or workshops. In contrast, Data Analysts apply these skills to analyze data, generate reports, and support business decisions. While both roles involve math and data concepts, the training prepares individuals for entry-level AI roles, whereas Data Analysts focus on data interpretation and reporting in various industries.

What is an entry level AI math training job?

An entry level AI math training job typically involves tasks that support the development and improvement of artificial intelligence models, particularly in areas that require mathematical data or logic. Responsibilities may include preparing datasets, annotating data, verifying mathematical solutions, or assisting in the evaluation of AI outputs for accuracy and relevance. This kind of role often serves as a starting point for those interested in AI, machine learning, or data science, and usually requires a basic understanding of mathematics and computer skills. Such positions provide valuable experience for future advancement in the AI field.

What are the key skills and qualifications needed to thrive as an Entry Level AI Math Training specialist, and why are they important?

To thrive as an Entry Level AI Math Training specialist, you need a solid background in mathematics, statistics, and foundational programming skills, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, data analysis tools, and machine learning frameworks such as TensorFlow or PyTorch is typically required. Strong problem-solving ability, attention to detail, and a willingness to learn are valuable soft skills in this role. These competencies are crucial for accurately preparing, labeling, and analyzing data that drive effective AI model development.

What types of tasks can I expect to work on daily in an Entry Level AI Math Training position?

In an Entry Level AI Math Training role, you will typically spend your days working on data annotation, labeling mathematical problems, and verifying the accuracy of AI-generated solutions. You'll collaborate closely with data scientists and engineers to ensure that mathematical datasets are clean, well-structured, and suitable for training machine learning models. Attention to detail is important, as you may also be responsible for flagging inconsistencies or ambiguous data. Regular feedback sessions and team meetings help ensure that everyone is aligned and that your work contributes directly to the development of more accurate AI systems.
What cities are hiring for Entry Level Ai Math Training jobs? Cities with the most Entry Level Ai Math Training job openings:
What are the most commonly searched types of Ai Math Training jobs? The most popular types of Ai Math Training jobs are:
Entry Level Ai Math Training jobs near you

AI Specialist

Recording Industry Association of America

Washington, DC • Remote

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 4 days ago

Job description

Role Overview

We are seeking an entry level AI Specialist to join our core AI team. The primary focus will be on analyzing AI models and architectures. You will also help evaluate model behaviors and conceptualize emerging AI technologies.

Key Responsibilities

  • Model Analysis & Evaluation: Study, benchmark, and evaluate diverse AI models (potentially including LLMs, diffusion models, and classic machine learning architectures) to understand their emergent behaviors, limitations, and failure modes.
  • Architectural Exploration: Research and experiment with novel model architectures, fine-tuning methodologies, and optimization techniques to improve model efficiency and alignment.
  • Theoretical Problem Solving: Apply core computer science and mathematical principles to diagnose complex model behaviors, data biases, and generalization challenges.
  • Cross-Functional Knowledge Sharing: Act as an internal subject matter expert on AI theory, translating complex academic research into actionable insights for product and engineering teams.

Qualifications & Skills

  • Education: Bachelor’s degree in computer science with a formal concentration, minor, or heavy coursework focus in Artificial Intelligence and/or Machine Learning
  • Theoretical Foundation: Deep conceptual understanding of core AI pillars, including deep learning, neural network architectures, and search algorithms.
  • Mathematical Proficiency: Strong grasp of linear algebra, calculus, probability, and statistics as they relate to machine learning theory and optimization.
  • Technical Skills: Proficiency in Python and familiarity with major AI/ML frameworks (such as PyTorch or TensorFlow). Experience reading and implementing concepts from academic AI research papers is a major plus.

Benefits Offered

  • Employees of RIAA are eligible for comprehensive healthcare benefits on date of hire or the first of the month following date of hire. These include medical, dental, and vision insurance coverage as well as life, and disability insurance.