1

Training Ai Models Jobs (NOW HIRING)

Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency ...

You will play a pivotal role in training AI models,ensuring the accuracy and relevance of Arabic content generated byAI. This position allows for flexible scheduling, and yourcontributions will ...

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

The role involves building a next-generation ML model training platform and optimizing training systems for advanced AI models and hardware platforms. Responsibilities : • Build and maintain highly ...

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

Data Annotator for AI Models (Italian)

$56 - $72.75/hr

This information will be used to train and improve generative AI and machine learning models ... • Training will be provided post-hire. • Collaborate closely with RWS Project Managers and ...

next page

Showing results 1-20

Training Ai Models information

See salary details

$15

$42

$77

How much do training ai models jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for training ai models in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 per hour, depending on experience, location, and employer.

Can I get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. These positions often require skills in data labeling, programming, and understanding AI algorithms, and compensation varies based on experience and project scope.

What are some common challenges faced when training AI models, and how are they addressed on the job?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What is a Training AI Models job?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

How to become an AI model trainer?

To become an AI model trainer, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge of data preprocessing, model evaluation, and annotation tools is essential, and some roles may require certifications or specialized training in AI and machine learning. Practical experience through projects or internships can also improve job prospects in this field.

How much do AI model trainers make?

AI model trainers typically earn between $70,000 and $130,000 annually, depending on experience, location, and the complexity of the models they work on. Salaries can vary based on skills in machine learning, data annotation, and familiarity with tools like Python or TensorFlow.

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

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or AI executives, which offer compensation in that range. These roles often require advanced skills in data science, deep learning, and experience with AI tools and frameworks, along with leadership responsibilities and industry expertise.
More about Training Ai Models jobs
What cities are hiring for Training Ai Models jobs? Cities with the most Training Ai Models job openings:
What are the most commonly searched types of Training Ai Models jobs? The most popular types of Training Ai Models jobs are:
What states have the most Training Ai Models jobs? States with the most job openings for Training Ai Models jobs include:
Infographic showing various Training Ai Models job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.

Staff Research Scientist, AI Safety

Biohub

New York, NY • On-site, Remote

$241K - $301K/yr

Full-time

Retirement, PTO

Posted 29 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
This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You'll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health-advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact for the public good.
The Staff Research Scientist is part of the AI Research team, which focuses on training AI models in biology and reasoning at the frontier of data, scale and compute. We are a mostly flat organization of researchers to enable rapid and dynamic AI development.
What You'll Do
  • Rigorously think through important open scientific questions that don't have textbook answers.
  • Design and build safety evaluations to understand AI capabilities at the frontier of biology.
  • Collaborate closely with scientists across Biohub to build safeguards that are robust to potential misuse, enabling our AI systems to be used for maximum societal benefit .
  • Gain direct access to a network of leading external experts and Biohub partners for collaboration and to inform your safety work.
  • Monitor capability advancements and emerging technologies across AI and assess how these advances impact the robustness of our safeguards.
  • Partner closely with colleagues to develop, implement, and evolve our frontier safety policy.
  • Communicate our safety work to internal teams as well as external partners.
What You'll Bring
  • PhD in computer science or a related field, or equivalent experience.
  • Expertise in biological sciences.
  • Significant experience building, using, and/or evaluating deep learning systems, ideally in research-driven environments.
  • Strong engineering and scientific fundamentals.
  • Comfort with ambiguity, rapid iteration, and loosely-defined research problems.
  • Strong communication skills across technical and scientific audiences.
  • Interest in shaping the frontier of safety for AI & biology, no prior safety experience required.
Compensation
The Redwood City, CA and New York City, NY base pay range for a new hire in this role is $241,000 - $301,000. 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.
Pay ranges outside Redwood City, CA and New York City, NY are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring 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.
#LI-Hybrid