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Temporary Llm Trainer Jobs (NOW HIRING)

Senior AI Engineer

Pleasanton, CA · On-site

$130K - $155K/yr

Instrument and monitor LLM applications in production using observability tools, tracking cost ... Exposure to distributed training, model optimization, and scalable inference architectures

Bargaining Unit: * Regular/Temporary: Regular * End Date if Temporary: * Hours Per Week: 35 ... Write and review code for critical platform components, including LLM integrations, retrieval ...

... LLM-based layer that correlates and clusters posture/risk data and turns it into clear, human ... Temporary visa candidates will not be considered. Third-party candidates will not be considered for ...

NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, and applicable data privacy ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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Temporary Llm Trainer information

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How much do temporary llm trainer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for temporary llm trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What is a temporary LLM trainer?

Temporary LLM Trainers are professionals hired on a short-term basis to assist in training large language models (LLMs) like GPT or similar AI systems. Their role typically involves curating, labeling, or generating data, evaluating model outputs, and providing feedback to improve the performance and accuracy of LLMs. These positions are often project-based and may require expertise in linguistics, data analysis, or specific subject matter. Temporary LLM Trainers help ensure the AI models are aligned with desired guidelines and ethical standards.

What are the typical responsibilities of a temporary LLM trainer?

As a Temporary LLM Trainer, your main responsibilities involve reviewing, annotating, and generating training data to help improve large language models. This often means analyzing model outputs, providing detailed feedback, and crafting example conversations or prompts. You may collaborate closely with machine learning engineers and researchers to ensure your insights directly inform model updates. While the role is project-based, it offers valuable exposure to cutting-edge AI development and can be a stepping stone to further opportunities in the field.

What are the key skills and qualifications needed to thrive as a temporary LLM trainer?

To thrive as a Temporary LLM Trainer, you need a strong background in natural language processing, prompt engineering, and familiarity with large language models, often supported by relevant academic or industry experience. Proficiency with machine learning frameworks (such as PyTorch or TensorFlow), data annotation tools, and version control systems is typically required. Attention to detail, effective communication, and adaptability are essential soft skills for collaborating with development teams and ensuring high-quality training data. These skills ensure the LLM is trained accurately and efficiently, resulting in effective and reliable AI systems.

What is the difference between Temporary Llm Trainer vs Data Annotator?

AspectTemporary Llm TrainerData Annotator
Required CredentialsRelevant degrees in AI, NLP, or related fields; technical skills in machine learningHigh school diploma or equivalent; attention to detail
Work EnvironmentTech companies, AI labs, remote or on-siteData labeling firms, tech companies, remote or on-site
Employer & Industry UsageAI development, machine learning projectsData preparation, training datasets for AI models

Temporary Llm Trainers focus on developing and fine-tuning language models, requiring technical expertise in AI and NLP. Data Annotators primarily label data to train these models, often with less technical background. Both roles are essential in AI development but differ in skills and responsibilities.

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Infographic showing various Temporary Llm Trainer job openings in the United States as of September 2026, with employment types broken down into 61% Full Time, 13% Part Time, 13% Temporary, and 13% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

Applied AI Engineer (LLM Applications Engineer)

Camarillo, CA • On-site

Hygiena
Biotechnology Research and Development • 51 - 200 employees

$137K - $162K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Applied AI Engineer (LLM Applications Engineer)

Full-time Regular Professional Camarillo, CA, US

10 days ago Requisition ID: 2227

This position cannot provide employment visa sponsorship. To ensure there is no misunderstanding, please confirm that your authorization to work in the United States is not dependent on OPT, CPT, or any other temporary employment authorization that would require a new visa sponsorship prior to applying.

Hygiena provides rapid microbiology diagnostic tests and solutions for mission‑critical, time‑sensitive processes around the world. Hygiena’s proprietary diagnostic technologies enable customers to prevent illness and save lives, comply with regulations, protect products and brands, and run businesses more effectively. Solutions are sold in a wide range of industries globally, but the core focus is food safety.

Headquartered in Camarillo, California and with offices around the world, we are actively looking for talented individuals to help grow the business!

  • In providing the highest quality products & service
  • Being a leader in innovation
  • Having a compelling desire to improve and win in the marketplace
  • In contributing positively not only in the workplace, but in our community and environment!

With rapid growth comes opportunity. We are looking for an Applied AI Engineer (LLM Applications Engineer) to join our team onsite in our Camarillo, CA office! This is a full-time / exempt position.

Responsibilities
  • Design, develop, and deploy machine learning models and AI features using Python (scikit-learn, PyTorch, TensorFlow, or equivalent frameworks).
  • Collaborate with Product and Engineering to identify AI/ML use cases with measurable customer and business impact (e.g., anomaly detection, predictive alerts, NLP for compliance documents).
  • Build and maintain ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment in Azure cloud environments.
  • Integrate AI/ML capabilities into the SureTrend platform via APIs, working with .NET/C# and React‑based services.
  • Monitor model performance in production; design retraining pipelines and drift detection strategies.
  • Document model methodologies, data requirements, and performance benchmarks; communicate findings to technical and non‑technical stakeholders.
Qualifications
  • Bachelor’s or Master’s Degree in Computer Science, Machine Learning, Data Science, or a related field required.
  • Minimum of 3‑5 years of applied ML or AI engineering experience, including:
    • Strong Python development skills (pandas, NumPy, scikit-learn; PyTorch or TensorFlow preferred)
    • End‑to‑end ML pipeline development: data preparation, feature engineering, model training, evaluation, and deployment
    • Cloud-based ML infrastructure (Azure ML, Azure AI Services, or equivalent)
    • RESTful API development for exposing model outputs to product surfaces
  • Experience working in Agile teams and managing ML workstreams in Azure DevOps or Jira.
  • Familiarity with LLMs, prompt engineering, or Retrieval‑Augmented Generation (RAG) architectures is a strong plus.
  • Knowledge of the food safety or life sciences domain is advantageous but not required.
Salary Range

$137,000 - $162,000 annually + bonus

Why you’ll want to join Hygiena

Teamwork as a core value

Our emphasis on teamwork and cross‑functional communication enables us to build stronger bonds within our business.

Be a part of something big

We play a critical role in helping to prevent global health crisis such as foodborne illness, healthcare‑associated infections, and other outbreaks.

Giving back to our communities

We believe in giving back by supporting local organizations committed to improving the lives of children and youth in our communities.

Benefits and Perks
  • 15 days of PTO & 10 paid company holidays
  • Medical with HSA employer contribution, Dental, Vision available 1st of the month after start date
  • Company paid Life Insurance, Short and Long‑Term Disability and an Employee Assistance Program
  • 401(k) with Safe Harbor and Profit‑Sharing employer contributions
  • Tuition Reimbursement program
  • Charitable Contribution matching
  • Employee Referral bonus opportunities

State paid short-term disability for California based employees

We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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