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Machine Learning Ta Jobs (NOW HIRING)

The Crucible

Welding Instructor / TA

Oakland, CA · On-site

$25 - $27.50/hr

Welding Instructor / TA Status: Non-Exempt, hourly, part-time Reports to: Welding Department Head ... machines and safety gear, promoting both safety and creativity in the learning process. The ...

The Crucible

Welding Instructor / TA

Oakland, CA · On-site

$25 - $27.50/hr

Welding Instructor / TA Status: Non-Exempt, hourly, part-time Reports to: Welding Department Head ... machines and safety gear, promoting both safety and creativity in the learning process. The ...

TA Staffing

Machine Operator

Franklin, KY · On-site

$16 - $17/hr

Operator up -- let's get you started in your next role as a Machine Operator with an employee ... If you're ready to be immediately considered or are interested in learning more, call or visit us ...

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Machine Learning Ta information

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How much do machine learning ta jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning ta in the United States is $19.62, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $20.67 per hour, depending on experience, location, and employer.

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What states have the most Machine Learning Ta jobs?

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Remote AI / Machine Learning Specialist

Nashville, TN • Remote

TA Staffing
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about TA Staffingexternal

$115K - $140K/yr

Full-time

Re-posted 12 days ago

Job description

We're seeking an innovative AI / Machine Learning Specialist to help design, build, and deploy intelligent solutions that improve business performance and automate complex processes. In this fully remote role, you'll work with engineering, product, and business teams to develop machine learning models, optimize AI systems, and transform data into actionable insights.

What You'll Do

  • Design, develop, train, and deploy machine learning and AI models.
  • Build predictive models, recommendation engines, and intelligent automation solutions.
  • Analyze structured and unstructured data to identify patterns and business opportunities.
  • Develop and optimize large language model (LLM) applications and AI-powered workflows.
  • Collaborate with software engineers to integrate AI solutions into production environments.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Stay current with emerging AI technologies, frameworks, and industry best practices.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field (Master's degree preferred).
  • Experience with Python and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of large language models (LLMs), generative AI, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with SQL, data pipelines, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with APIs, Git, Docker, and MLOps practices.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to manage multiple AI initiatives in a fast-paced remote environment.

Preferred Experience

  • Experience deploying AI models into production environments.
  • Knowledge of vector databases, embeddings, and semantic search.
  • Experience building AI agents or workflow automation tools.
  • Familiarity with Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Experience working with enterprise AI platforms such as OpenAI, Anthropic, Google Vertex AI, or Amazon Bedrock.

Why Join Our Team?

  • 100% remote work from anywhere in the United States.
  • Competitive salary, annual bonus, and comprehensive benefits.
  • Work on cutting-edge AI and machine learning initiatives with real business impact.
  • Flexible work schedule and excellent work-life balance.
  • Ongoing professional development and access to the latest AI technologies.
  • Opportunities for rapid career growth as AI adoption continues to accelerate across industries.


Ready to apply?

Complete your on-demand video interview by clicking the link below. The interview takes about 10 minutes, and you can complete it whenever and whenever it's convenient for you.

Start Your Interview: https://your-hirevue-link