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Ai Model Training Jobs in Renton, WA (NOW HIRING)

Clinicia Expert - Remote

Seattle, WA · Remote

$150 - $200/hr

Support AI model training by delivering high-quality clinical evaluations and expert feedback. Required Skills * Clinical Oncology * Clinical Hematology * Clinical Trial Evaluation * CTCAE Grading

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

Senior Software Engineer, Model Lifecycle

Kirkland, WA · Hybrid

$139K - $183K/yr

... training, model evaluation, and model deployment. * BS/MS and 5+ years of industry experience, or PhD + 2 years of industry experience * Passionate about data-centric AI and autonomous driving ...

... for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to improve AI models and workflows. Required Skills

... for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to improve AI models and workflows. Required Skills

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Ai Model Training information

See Renton, WA salary details

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How much do ai model training jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai model training in Renton, WA is $35.28, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $44.09 per hour, depending on experience, location, and employer.

What is an AI model training?

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.

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 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.

Are there any legit AI model training jobs?

Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.

Can you get paid to train AI models?

Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.

How do I become an AI model trainer?

To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.

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Infographic showing various Ai Model Training job openings in Renton, WA as of August 2026, with employment types broken down into 56% Full Time, 29% Part Time, and 15% Contract. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $73,390 per year, or $35.3 per hour.

Clinicia Expert - Remote

Seattle, WA • Remote

$150 - $200/hr

Full-time

Posted 29 days ago


Job description

Job Title: Clinician Expert Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Clinicians specializing in Oncology and Hematology to contribute their medical expertise to an innovative healthcare AI project. In this role, you will help improve next-generation AI systems by evaluating clinical content, reviewing trial data, and providing expert medical judgment. No prior AI experience is required—your clinical expertise and domain knowledge are what matter most.

Key Responsibilities
  • Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.

  • Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess medical accuracy.

  • Evaluate the clinical relevance of efficacy and safety conclusions, including endpoints and treatment outcomes.

  • Assess dose escalation strategies, dose-limiting toxicities, adverse event grading, attribution, and patient safety narratives.

  • Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible interpretations.

  • Provide structured, guideline-based written explanations of clinical reasoning and findings.

  • Support AI model training by delivering high-quality clinical evaluations and expert feedback.

Required Skills
  • Clinical Oncology

  • Clinical Hematology

  • Clinical Trial Evaluation

  • CTCAE Grading

  • RECIST

  • Lugano Criteria

  • IMWG Criteria

  • IWCLL Criteria

  • ELN Criteria

  • Outcome Endpoint Analysis (ORR, DoR, PFS, OS, MRD)

  • Dose Escalation Assessment

  • Adverse Event Grading & Attribution

Preferred Qualifications
  • Board certification or specialist registration in Medical Oncology and/or Hematology.

  • 5+ years of post-training clinical experience.

  • Direct experience with clinical trials as an investigator, sub-investigator, medical monitor, safety physician, or clinical development physician.

  • Experience reviewing clinical trial documents, including protocols, investigator brochures, clinical study reports, safety narratives, and DSMB/IDMC materials.

  • Strong understanding of oncology and hematology response criteria and clinical endpoints.

  • Excellent written communication skills with the ability to explain complex clinical concepts clearly.

  • Experience in medical monitoring, medical director roles, adjudication committees, or independent review committees is preferred.

  • Peer-reviewed publications or authorship of clinical trial manuscripts is a plus.

  • Experience with AI-assisted clinical review tools is an advantage.