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Ai Model Trainer Jobs (NOW HIRING)

Senior Life Sciences Analyst, AI Model Training

$90K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description Senior Life Sciences Analyst, AI Model Training About us: Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each ...

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

AI Model Risk Validation Specialist

Chicago, IL · Hybrid

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The initial training period may require additional inoffice days. Accountabilities: Model Validation (Core Responsibility) * Perform independent validation of AI/ML models, including: * Model design ...

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

... the AI model lifecycle--from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and model optimization. • Support a broad model portfolio ...

AI Model Risk Validation Specialist

Dallas, TX · Hybrid

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The initial training period may require additional inoffice days. Accountabilities: Model Validation (Core Responsibility) * Perform independent validation of AI/ML models, including: * Model design ...

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

We are currently helping hire for one of the leading AI labs (via one of our partners); helping them train their AI models. Have you been curious as to how LLMs generate expert answers and would you ...

AI Model Risk Validation Specialist

Atlanta, GA · Hybrid

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The initial training period may require additional inoffice days. Accountabilities: Model Validation (Core Responsibility) * Perform independent validation of AI/ML models, including: * Model design ...

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

AI Model Risk Validation Specialist

Iowa, LA · Hybrid

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The initial training period may require additional inoffice days. Accountabilities: Model Validation (Core Responsibility) * Perform independent validation of AI/ML models, including: * Model design ...

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...

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 ...

Showing results 21-40

Ai Model Trainer information

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How much do ai model trainer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai model trainer in the United States is $25.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.81 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

What are the key skills and qualifications needed to thrive as an AI model trainer, and why are they important?

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

More about Ai Model Trainer jobs
What cities are hiring for Ai Model Trainer jobs? Cities with the most Ai Model Trainer job openings:
What states have the most Ai Model Trainer jobs? States with the most job openings for Ai Model Trainer jobs include:
Infographic showing various Ai Model Trainer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $53,467 per year, or $25.7 per hour.

Senior Life Sciences Analyst, AI Model Training

Norstella

Remote

$90K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Description
Senior Life Sciences Analyst, AI Model Training
About us:
Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Evaluate, Citeline, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making.
Together, we help our clients:
• Assess the market need and competitive landscape
• Know precisely which drugs to prioritize in their portfolios
• Find out where the launch difficulties will be-before they're difficulties
• Track and improve market access post-launch
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning-driven predictive analytics. At Norstella, we don't just deliver information and insights. We deliver answers you can act on.
Job Description
About the role:
As a Senior Life Sciences Analyst for Model Training at Norstella, you will sit at the intersection of deep clinical and scientific domain expertise and applied AI development. This role will be embedded within a group of life science thought leaders, but will interface across cross-functional teams of data scientists, machine learning engineers and data engineers. Your work centers on the preference and judgment layer of model development - through scoring and ranking outputs, you will calibrate models on dimensions of quality, accuracy and clinical reasoning such that they are able to handshake with persona use cases. Your judgment becomes
the signal that bridges a capable model and a genuinely useful one, and will play a critical role in our efforts to deliver predictive analytics and insights across clients.
Responsibilities:
• Evaluate model outputs across clinical, regulatory, and life sciences tasks by rating individual responses, ranking pairs and lists, and rewriting outputs to demonstrate the preferred response.
• Define and maintain evaluation rubrics, preference dimensions, and quality criteria (factual accuracy, clinical reasoning quality, etc) that govern model outputs and preference alignment.
• Act as an expert-in-the-loop for how life science models are commercialized with clients, including ongoing support for implementation.
• Advise and assist with interpretation of model behavior, bridging the desired behavior back to the dataflow inflection point, working with the relevant teams to adjust as needed.
• Partner with data scientists and MLEs to walk feedback into data collection pipelines.
• Conduct red-team and adversarial evaluation of models, surfacing subtle failure modes - hallucinations, citation errors, unsupported clinical claims, regulatory missteps - that automated metrics cannot reliably catch.
• Analyze preference data and model behavior to identify systematic gaps, then partner with the fine-tuning SMEs and the data science team to decide how each gap is addressed through preference data.
• Conduct new proofs of concept for novel domain capabilities.
• Contribute to Norstella's knowledge graph and taxonomy work and help design new agentic workflows based on domain-grounded language models.
The guiding principles for success at Norstella:
01: Bold, Passionate, Mission-First
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
02: Integrity, Truth, Reality
We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what
works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace
We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance
We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
Qualifications: The skills you bring to the table:
• Graduate degree in life sciences, medical sciences, computer science or equivalent professional experience.
• At least 3 years of professional experience in production-grade life science datasets, including with AI-enabled applications.
• Experience working with structured publishing platforms and data tools; comfort with automation concepts
• Experience working with and statistically analysing large and complex data sets, including data cleaning and preprocessing.
• Excellent problem-solving skills and the ability to work independently.
• Excellent communication skills, especially between technical and non-technical teams.
Bonus points if you have experience in:
• Experience working with Generative AI, especially LLMs, including agents, throughout the entire software development lifecycle (SDLC).
• Experience creating MCPs and consuming them into Agentic workflows.
• Experience in fast-paced, novel product development.
Travel: None required
Benefits:
• Medical and prescription drug benefits
• Health savings accounts or flexible spending accounts
• Dental plans and vision benefits
• Basic life and AD&D Benefits
• 401k retirement plan
• Short- and Long-Term Disability
• Education benefits
• Paid parental leave
• Paid time off
Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment.
All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected]