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Assistant Llm Training Jobs (NOW HIRING)

Aquent

Senior Software Engineer LLM Training

Campbell, CA · On-site +1

$100 - $300/hr

... assist with their LLM training. Selected candidates will be asked to complete an AI interview ... followed by a coding exercise. Candidates who successfully pass the AI interview will be paid $200.

Luminary Cloud

LLM Engineer

San Mateo, CA · On-site

... next generation of intelligent assistants for engineering workflows. You'll work at the ... Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines ...

E-Solutions

$17.25 - $23.25/hr

Assistant For Enhancing Large Language Models This position is within a project with one of the ... value for training purposes. Requirements: * 3+ years of overall professional experience in a ...

DNI (Delaware Nation Industries)

Be Seen First

Data Analyst

Andrews Air Force Base, MD · On-site

$85K - $95K/yr

Apply foundational data science skills to assist in data modeling and the maintenance of automated ... Exposure to Machine Learning concepts and LLM training. * Familiarity with data visualization tools ...

DNI Delaware Nation Industries

Apply foundational data science skills to assist in data modeling and the maintenance of automated ... Exposure to Machine Learning concepts and LLM training. * Familiarity with data visualization tools ...

Cognition

Research, Mid-Training

San Francisco, CA · On-site

These products represent our vision for AI that doesn't just assist engineers, but works alongside ... Deep familiarity with the LLM training pipeline end to end: pre-training data, optimization ...

Delaware Nation Industries

Apply foundational data science skills to assist in data modeling and the maintenance of automated ... Exposure to Machine Learning concepts and LLM training. * Familiarity with data visualization tools ...

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How much do assistant llm training jobs pay per hour?

As of May 29, 2026, the average hourly pay for assistant llm training in the United States is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant LLM Training Specialist, and why are they important?

To thrive as an Assistant LLM Training Specialist, you need a solid understanding of machine learning concepts, data preprocessing, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with data annotation tools are typically required. Strong attention to detail, problem-solving skills, and the ability to collaborate effectively with data scientists and engineers set standout candidates apart. These competencies ensure the accurate preparation and management of data crucial for developing effective large language models.

What are some typical challenges faced by Assistant LLM Training professionals, and how can they be addressed?

Assistant LLM Training professionals often encounter challenges such as ensuring high-quality data annotation, managing large and complex datasets, and keeping up with evolving model requirements. Effective communication with data scientists and engineers is crucial to align on project goals and annotation standards. Staying organized and proactive in seeking feedback can help address ambiguities in training data, while continuous learning about new tools and best practices in machine learning annotation can further enhance overall performance.

What are Assistant LLM Training jobs?

Assistant LLM Training jobs typically involve supporting the development, fine-tuning, and evaluation of large language models (LLMs) like GPT or similar AI systems. Individuals in these roles may help gather and curate training data, annotate or review outputs, and assist in testing model performance. They often work closely with machine learning engineers and data scientists to ensure the LLMs produce accurate, ethical, and high-quality responses. These positions may also include monitoring for biases, suggesting improvements, and maintaining documentation related to model training.

What is the difference between Assistant Llm Training vs Data Annotator?

AspectAssistant Llm TrainingData Annotator
Required CredentialsTypically a degree in AI, computer science, or related fieldHigh school diploma or equivalent; training often provided
Work EnvironmentOffice or remote, collaborative with AI teamsMostly remote or on-site, focused on data labeling
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Common Search & ComparisonOften compared for roles supporting AI trainingCompared for data labeling and annotation tasks

Assistant Llm Training involves preparing and fine-tuning language models, requiring technical skills and relevant degrees. Data Annotator focuses on labeling data to train AI models, often with minimal formal credentials. Both roles support AI development but differ in technical complexity and responsibilities.

More about Assistant Llm Training jobs
What cities are hiring for Assistant Llm Training jobs? Cities with the most Assistant Llm Training job openings:
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
What states have the most Assistant Llm Training jobs? States with the most job openings for Assistant Llm Training jobs include:
What job categories do people searching Assistant Llm Training jobs look for? The top searched job categories for Assistant Llm Training jobs are:
Assistant Llm Training jobs near you
Infographic showing various Assistant Llm Training job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution, with an average salary of $44,018 per year, or $21.2 per hour.
Senior Software Engineer LLM Training

Senior Software Engineer LLM Training

Aquent

Campbell, CA • On-site, Remote

$100 - $300/hr

Temporary

Posted 22 days ago

Job description

Placement Type:
Temporary
Salary:
$100-300 Hourly
Start Date:
Mar 23, 2026
Our client, a pioneering leader at the forefront of AI research and advanced system deployment, is looking for qualified Senior Software Engineers to assist in a one-time project to assist with their LLM training.
Selected candidates will be asked to complete an AI interview, followed by a coding exercise.
Candidates who successfully pass the AI interview will be paid $200.
Candidates who then pass the coding exercise will receive an additional $100.
The total compensation for passing both the AI interview and coding exercise is $300. Candidates must pass in order to receive payment.
*MUST HAVE EXPERIENCE WITH SPECIFIC COMPANIES (LISTED BELOW) AND A DEGREE FROM SPECIFIC UNIVERSITIES (LISTED BELOW).
**What You'll Do:**
* Complete 1 AI interview and 1 coding exercise. Total time spent is expected to be ~1 hour.
* Evaluate and improve large language models by creating essential training datasets.
* Curate diverse code examples and provide precise solutions across multiple programming languages.
* Refine AI-generated code to ensure optimal efficiency, scalability, and reliability.
* Collaborate closely with cross-functional teams and researchers to enhance enterprise-level AI-driven coding solutions.
* Develop sophisticated agents capable of verifying code quality and identifying complex error patterns.
* Hypothesize on critical steps within the software engineering lifecycle, from prototyping and architecture design to production implementation and operational maintenance, to evaluate model capabilities.
* Design and implement robust verification mechanisms that automatically validate solutions to complex software engineering tasks.
**Must-Have Qualifications:**
* Candidates must be based in the United States
* 5+ years of software engineering experience.
* Strong expertise in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
* Demonstrated experience in application development and deploying scalable, production-grade software.
* Deep understanding of software architecture, design, development, debugging, and code quality assessment.
* Excellent oral and written communication skills, capable of providing clear and structured evaluation rationales.
* Candidates must have experience as an employee working for at least one of these companies in the last seven years: Google, Alphabet, Apple, Amazon, Meta, Facebook, Netflix, Microsoft, Tesla, NVIDIA, Adobe, Salesforce, Airbnb, Dropbox, Stripe, Palantir, Uber, Lyft, Square, Block, Twilio, Snap Inc., Pinterest, GitHub, Atlassian, HashiCorp, Databricks, Snowflake, Cloudflare, DigitalOcean, MongoDB, Elastic, Confluent, Figma, Oracle, Cisco, Paypal, Doordash, Rivian, Reddit, Coinbase, Splunk, Goldman Sachs, Morgan Stanley, JPMorgan Chase, Capital One, Plaid, Shopify, Intuit, Workday, Spotify, ServiceNow, Hugging Face, VMware, Brex, Wise, Epic Games, Unity Technologies, Activision Blizzard, Riot Games, Valve, Huawei, Bloomberg, ByteDance, Alibaba, Baidu, Notion, Klarna, Instacart, Zillow, Ramp, Datadog, or IBM Research.
* Candidates must have a degree from one of the following universities to be considered for this role: Princeton University, Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Yale University, California Institute of Technology (Caltech), Duke University, Johns Hopkins University, Northwestern University, University of Pennsylvania, Cornell University, University of Chicago, Brown University. Columbia University, Dartmouth College, University of California, Los Angeles (UCLA), University of California, Berkeley (UC Berkeley), Rice University, Carnegie Mellon University, University of Michigan, Ann Arbor, Washington University in St. Louis, University of North Carolina, Chapel Hill, University of Southern California, University of California, San Diego, New York University, University of Texas, Austin, Georgia Institute of Technology, University of California, Davis, University of Illinois, Urbana-Champaign, or University of California, Irvine.
**About Skill**
Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands.
Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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