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Ai Model Training Jobs (NOW HIRING)

Pareto AI

Applied AI Engineer

$225K - $275K/yr

Design and build the pipelines that generate synthetic tasks and evaluation environments for AI model training - this is the factory floor of AI development, producing training fuel for next ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Support data ingestion, processing, and retrieval mechanisms to enable efficient AI model training and inference. Work closely with domain experts to ensure compliance with healthcare regulations and ...

Scale AI

Product Manager, Gen AI

San Francisco, CA · On-site

They are seeking a Product Manager for their Gen AI organization, responsible for shaping systems and tooling that enhance the quality of AI model training data. Responsibilities : • Set the ...

SmartIPlace

Lead AI Engineer or Architect[Hybrid]

Atlanta, GA · On-site

$53.25 - $72.75/hr

USC, GC, GC-EAD, H4-EAD Mandatory Skills: • Lead the team • Platform • Pipelines Automation (Data Pipelines, AI / Model Training Pipelines, Deploying Application, Models Automation through ...

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How much do ai model training jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for ai model training in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

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

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

What are the typical work responsibilities of someone in AI Model Training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What is an AI Model Training job?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

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Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in the United States as of May 2026, with employment types broken down into 10% Internship, 70% Full Time, and 20% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Staff Software Engineer, Data Infrastructure, AI Compute Platform

Biohub

Redwood City, CA • On-site, Remote

$140K - $168K/yr

Full-time

Retirement, PTO

Posted 26 days ago

Job description

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology-developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
The Opportunity
The Data Engineering and Infrastructure team brings AI/ML technology and Data to the table in new ways to help drive AI powered solutions that accelerate Biomedical research. We are uniquely positioned to design, build, and scale software systems to help scientists better address the myriad challenges they face. We are supporting researchers and scientists around the world by developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.
This team works on building shared tools and platforms to be used across Biohub, partnering and supporting the work of an extensive group of Research Scientists, Data Scientists, AI Research Scientists, and Computational Biologists. Members of the shared infrastructure engineering team have an impact on all of Biohub's initiatives by enabling the technology solutions used by other engineering teams to build a frontier model and scale the feedback loop.
What You'll Do
  • Develop and maintain the tooling and infrastructure that drives the entire data lifecycle at Biohub, from ingestion and processing to secure storage and access. Your work will directly support cutting-edge research, AI model training, and data analysis across the organization.
  • Partner with researchers and engineers across various domains, including genetics, imaging, and scientific literature. You'll work on various use cases, from web analytics to complex model training, ensuring data accessibility and performance for teams across CZI.
  • Design and implement flexible, scalable, and performant systems to address our stakeholders' needs, leveraging technologies like Argo Workflows, Slurm, Ray, AWS Parallel Cluster for mass-scale job processing and orchestration; Vast Data, Delta Lake, Databricks and Apache Iceberg for data management and access; and cloud and on-prem HPC resources
What You'll Bring
  • Education & Experience: BS, MS, or PhD in Computer Science or a related technical discipline, or equivalent experience. 8+ years of hands-on coding experience in scripting (Python, PHP, Ruby) and systems languages (Rust, C++, C#, Go, Java, or Scala).
  • Data Platform Expertise: Proficiency in managing large-scale data operations, including designing scalable pipelines (streaming and batch), working with varied data types, and optimizing flexible storage solutions using tools like Argo Workflows, Databricks, Slurm, etc.
  • Data Management and Development Operations: Experience with data governance, metadata, and data lineage tooling like Open Lineage or Marquez. Deep experience working with building CI/CD pipelines for data infrastructure and associated observability and monitoring tooling such as Prometheus, Grafana, OpenTelemetry, Prometheus, or Honeycomb
  • Supporting Complex Data and AI ML Workflows: Experience with addressing end to end data needs for working with complex data and delivering this data ready form model training, working directly with AI Researchers and AI Engineers as part of AI model training project teams. Knowledge of data pipelines that feed Deep Learning model training that makes use of accelerated computing systems (GPUs as well as ASICs, FPGAs, TPUs)
  • Containerization: Extensive experience with scaling containerized applications on Kubernetes or Mesos, with a focus on secure custom containers, replicability and portability.
  • Cloud & Infrastructure: Strong experience with AWS, GCP, or Azure. Exposure to hybrid environments with on-prem and colocation systems is a plus. Familiarity with Infrastructure as Code (e.g., Terraform, Ansible) and monitoring tools (Datadog, Prometheus).
  • Collaboration & Problem Solving: Proven ability to work with diverse, cross-functional stakeholders and teams to navigate complex technical challenges, adapt to evolving requirements, and drive impactful solutions.
Compensation
The Redwood City, CA base pay range for a new hire in this role is $214,000 - $295,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
Better Together
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Benefits for the Whole You
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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