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Freelance Ai Math Training Jobs in Virginia (NOW HIRING)

Luck Stone

AI Engineer

Manakin Sabot, VA

$152K/yr

Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field Preferred ... Experience with automating AI model training, deployment pipelines, and optimization processes

Luck Stone Corporation

AI Engineer

VA · On-site

$152K/yr

Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field Preferred ... Experience with automating AI model training, deployment pipelines, and optimization processes

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA

$103K - $136K/yr

... training, large language model inference, similarity search, guardrails, model evaluation ... You possess a strong foundation in engineering and mathematics, and your expertise in hardware ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

... training, large language model inference, similarity search, guardrails, model evaluation ... You possess a strong foundation in engineering and mathematics, and your expertise in hardware ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

... training, large language model inference, similarity search, guardrails, model evaluation ... You possess a strong foundation in engineering and mathematics, and your expertise in hardware ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

... training, large language model inference, similarity search, guardrails, model evaluation ... You possess a strong foundation in engineering and mathematics, and your expertise in hardware ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

... training, large language model inference, similarity search, guardrails, model evaluation ... You possess a strong foundation in engineering and mathematics, and your expertise in hardware ...

Vantor

Applied AI Scientist

Herndon, VA · On-site

... training and experimentation frameworks, including automated pipelines, experiment tracking ... Mathematics, or a related technical field, or equivalent practical experience. • 5+ years of ...

Quevera LLC

AI/ML Engineer

Herndon, VA · On-site

Bachelor's degree or higher in Science, Technology, Engineering, or Mathematics (STEM ... Employer-paid life insurance * $5,000 annually for education, training, certifications, and ...

Quevera LLC

AI/ML Engineer

Herndon, VA · On-site

Bachelor's degree or higher in Science, Technology, Engineering, or Mathematics (STEM ... Employer-paid life insurance * $5,000 annually for education, training, certifications, and ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

Salem, VA · Remote

$18 - $40/hr

Skilled at breaking down neural network architectures, training optimization, and model evaluation ... Emphasizes connecting mathematical foundations to practical implementation and applies AI to health ...

Quevera LLC

AI/ML Engineer

Herndon, VA · On-site

Bachelor's degree or higher in Science, Technology, Engineering, or Mathematics (STEM ... Employer-paid life insurance * $5,000 annually for education, training, certifications, and ...

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Freelance Ai Math Training information

Do AI training jobs actually pay?

AI training jobs, including roles like freelance AI model trainers, typically offer pay based on project scope, experience, and skill level. Compensation can range from hourly rates to fixed project fees, with experienced professionals earning competitive wages in the industry. Successful freelancers often need strong knowledge of machine learning tools and data annotation techniques.

What is Freelance AI Math Training?

Freelance AI Math Training involves working independently to create, annotate, or review mathematical data and problems used to train artificial intelligence models. Freelancers in this role may develop math questions, provide step-by-step solutions, or label data to help improve AI systems’ understanding of mathematical concepts. This work is typically done remotely and can vary from basic arithmetic to advanced topics, depending on the AI application. It is a growing field as AI companies seek high-quality, human-generated math data to enhance their algorithms.

Can I earn money by training AI?

As a freelance AI math trainer, you can earn money by providing specialized training to individuals or organizations seeking to improve their AI and machine learning skills. This role often involves creating educational content, offering online lessons, and demonstrating expertise in AI concepts and tools. Successful trainers typically have strong math, programming, and AI knowledge, and may work independently or through online platforms.

Can you get paid to teach AI?

Freelance AI math trainers can get paid by offering online tutoring, creating educational content, or providing consulting services related to AI and machine learning. Payment depends on experience, skill level, and the platform used, with opportunities to earn through freelance marketplaces or direct client contracts.

How to become a freelance AI trainer?

To become a freelance AI trainer, develop expertise in machine learning, deep learning, and data analysis, often through relevant degrees or certifications. Build a portfolio of training materials and projects, and gain experience by working on AI-related tasks or teaching. Establish an online presence, network with clients, and use freelance platforms to find opportunities.

How do freelance AI math trainers typically collaborate with development teams and data scientists during a project?

Freelance AI math trainers often work closely with development teams and data scientists to design and refine machine learning models. This collaboration usually involves translating complex mathematical concepts into practical algorithms, providing feedback on model performance, and suggesting optimizations. Regular virtual meetings, shared documentation, and code repositories are common tools for effective teamwork. Clear communication and adaptability are key, as freelancers may need to integrate their expertise within existing workflows or adapt to changing project requirements.

What is the difference between Freelance Ai Math Training vs AI Math Tutor?

AspectFreelance Ai Math TrainingAI Math Tutor
CredentialsTypically requires expertise in AI and mathematics, certifications varyOften requires teaching credentials or tutoring experience in math and AI
Work EnvironmentIndependent, remote or freelance basis, flexible scheduleUsually remote, may work for tutoring platforms or independently
Employer/Industry UsageUsed by individuals offering specialized AI math training servicesCommonly employed by online tutoring platforms or educational companies
Search/Comparison IntentPeople looking for freelance AI math training opportunities or servicesIndividuals seeking or offering AI math tutoring services

Freelance Ai Math Training involves providing specialized AI and math training independently, often with flexible hours. AI Math Tutors typically work for tutoring platforms or educational services, focusing on one-on-one student support. Both roles require strong math and AI knowledge, but freelance trainers emphasize independence, while tutors often follow platform guidelines.

What are the key skills and qualifications needed to thrive as a Freelance AI Math Trainer, and why are they important?

To thrive as a Freelance AI Math Trainer, you need a strong background in mathematics, experience with machine learning concepts, and often an advanced degree in a quantitative field. Familiarity with programming languages like Python, data annotation tools, and platforms such as TensorFlow or PyTorch is typically required. Excellent communication, attention to detail, and the ability to explain complex topics clearly are standout soft skills in this role. These skills are crucial for accurately training AI systems, ensuring data quality, and effectively collaborating with teams or clients.
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Freelance Ai Math Training jobs near you

AI Engineer - AI+CryoET

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

Full-time

Medical, Retirement

Re-posted 16 days ago

Job description

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147
Current HHMI Employees, click here to apply via your Workday account.
TLDR: Build AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets.
Please include a cover letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations, and challenges encountered. If the project was collaborative, describe your specific contributions. Include links to relevant code repositories and your GitHub/Gitlab profile, personal website, or similar evidence.
About the role:
AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. This role is part of the AI+CryoET project within AI@HHMI, a multi-institutional project at the intersection of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules organize into higher-order structures. You will work in a team at Janelia, with experimental and computational collaborators across the Rosen lab (UT Southwestern Medical Center/HHMI), Gouaux lab (Oregon Health and Science University/HHMI), Collepardo-Guevara lab (University of Cambridge), and Villa lab (UC San Diego/HHMI).
You will develop machine learning methods for particle detection, localization, and structural analysis in cryoET data, with two interconnected aims: (1) detecting gold nanoparticle (AuNP) probes to improve reconstruction quality and identify molecular targets; (2) identifying the arrangement and connectivity of nucleosomes in chromatin that give rise to chromosome structure in cell nuclei and biochemical reconstitutions. This involves developing supervised and self-supervised AI models based on simulated as well as annotated experimental cryoET data, informed by molecular dynamics simulations of relevant biological structures. Success in this role requires close collaboration with cryoET experts, structural biologists, and computer scientists to ensure models work in challenging real-world scenarios of a biologically not yet fully understood system.
What we provide:
  • A competitive compensation package with comprehensive health and welfare benefits.
  • A supportive team environment that promotes collaboration and knowledge sharing.
  • Access to world-class computational infrastructure, GPU-based computing environments, and unique high-quality cryoET datasets.
  • The opportunity to work directly with leading structural biologists, cryoET experimentalists, and molecular dynamics experts on a highly interdisciplinary project.
  • The opportunity to engage with world-class researchers, software engineers, and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing humanity's understanding of fundamental scientific questions.
  • Amenities that enhance work-life balance, such as on-site childcare, free gyms, available on-campus housing, social and dining spaces, and convenient shuttle bus service to Janelia from the Washington, D.C. metro area.
  • Opportunity to partner with frontier AI labs on scientific applications of AI. See https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute

What you'll do:
  • Develop and evaluate deep learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data, and for identification of nucleosome arrangement and connectivity in chromatin.
  • Develop methods to leverage gold nanoparticle detections to improve tomogram reconstruction, addressing challenges in tilt-series alignment, deformations, and low signal-to-noise conditions.
  • Design and execute rigorous AI model training and evaluation pipelines, including proper handling of missing wedge artifacts, CTF effects, and sim-to-real transfer from MD-derived synthetic training data.
  • Identify where additional human annotation and proofreading will be most helpful and design and guide annotation efforts.
  • Contribute to scientific publications, present findings at conferences, and maintain a well-documented codebase enabling seamless reproduction and extension of results.
  • Collaborate with interdisciplinary teams across multiple institutions.

What you bring:
  • Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience.
  • 3+ years training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred.
  • Strong Python skills, and proficiency in PyTorch and/or JAX. Ability to reason about neural network behavior from first principles: how architectural choices, regularization, and training procedures affect model behavior.
  • Rigorous experimental design: model comparisons, ablation studies, reproducibility.
  • Commitment to open science.
  • Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data.
  • Excellent communication skills and keen interest in working in a truly interdisciplinary environment.

Ways to stand out:
  • Experience with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging.
  • Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models.
  • Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction.
  • Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr).
  • Experience with template matching, sub-tomogram averaging, or particle picking in cryo-EM/ET contexts.

Physical Requirements:
Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).
Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.
Please Note:
This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word "may," the Essential Duties and Responsibilities described above are "essential functions" of the job, as defined by the Americans with Disabilities Act.
Hiring Pay Range
AI Engineer I: $96,325.60 - $120,407.00
AI Engineer II: $123,125.60 - $153,907.00
AI Engineer III: $149,515.20 - $186,894.00
AI Engineer IV: $184,453.60 - $230,567.00
Pay Type: Salary
The posted range reflects HHMI's good faith estimate of the anticipated hiring salary range for this role at the time of posting. Actual hiring compensation is determined by a candidate's qualifications, experience, and internal equity.
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Compensation and Benefits
Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.
HHMI is an Equal Opportunity Employer
We use E-Verify to confirm the identity and employment eligibility of all new hires.

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