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Assistant Llm Training Jobs (NOW HIRING)

Hop

Principal AI Architect

San Francisco, CA

Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Hop

Principal AI Architect

San Francisco, CA · On-site

Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistants they interact with - from the metrics themselves to software applications to deep dive ...

Agoda

Technical Product Manager, LLM/ML Domain

Boston, MA · On-site

$181K - $209K/yr

... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...

Agoda

Technical Product Manager, LLM/ML Domain

Seattle, WA · On-site

$190K - $219K/yr

... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...

MSRCosmos

AI Solution Architect

Bellevue, WA · On-site

$71 - $93.75/hr

... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring reranking Azure ML training deployment model registry pipelines Cognitive ...

Agoda

Technical Product Manager, LLM/ML Domain

Manhattan, NY · On-site

$183K - $212K/yr

... training, and internal evangelism • Collaborate with engineering to level up Agoda's platforms to ... assistants and autonomous agents • Ensure platform APIs, tooling, and abstractions enable ...

American

$78K - $82K/yr

... training for:1.) Graduate law students in the Washington College of Law's LL.M., 2.) S.J.D, and ... Review publications to keep abreast of job market trends. 5.) Other Duties * Assist the Assistant ...

poolside

Member of Engineering (Synthetic Data Research)

$117K - $140K/yr

... assistants, and the frontier models that power them. We deploy these systems directly into the ... and LLM training is key to success in this role. You will constantly lead original research ...

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Assistant Llm Training information

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How much do assistant llm training jobs pay per hour?

As of Aug 9, 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 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 the key skills and qualifications needed to thrive as an assistant LLM training?

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 is an assistant LLM training?

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:
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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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $44,018 per year, or $21.2 per hour.

Senior AI Application Engineer

Channel Partners

Tampa, FL • On-site, Remote

$140K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

At A Glance

The Senior AI Application Engineer is a senior technical builder and architect responsible for designing, building, and deploying production-grade AI-powered tools, automations, and intelligent systems across Channel Partners. This role goes beyond execution - the Senior engineer shapes the technical direction of our AI application portfolio, makes architectural decisions, drives quality standards, and serves as the internal expert on AI tooling and LLM frameworks.

We're looking for someone with 4-8+ years of software engineering experience, including at least 2-3 years in production AI/LLM application development. You have shipped real AI systems - not just prototypes - and you have the architectural judgment to know when to use what and why. You can work with minimal direction, lead technical scoping conversations, and mentor others without being asked.

This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration as needed. Minimal travel is expected.Minimum PayUSD $120,000.00/Yr.Maximum PayUSD $140,000.00/Yr.What We Offer
  • Health and wellness benefits plans  
  • Flexible vacation and holiday policies 
  • Paid parental leave  
  • 401(k) with employer matching  
  • Technology allowance
  • Referral bonus 
  • Tax savings with flexible spending accounts for parking, transit, dependents, and healthcare costs 
  • Opportunity to work with a growing company that actively rewards and promotes its employees 
What You'll Do
  • Own the full lifecycle of AI application development - from technical scoping and architecture through build, testing, deployment, and ongoing maintenance.
  • Design and implement production-grade AI-powered tools including LLM-integrated workflows, intelligent automations, internal assistants, chatbots, and RAG-based retrieval systems.
  • Define and enforce AI architecture standards - selecting frameworks, establishing integration patterns, and documenting decisions the broader engineering team can build on.
  • Lead technical discovery with internal stakeholders - translating ambiguous business problems into clear, scoped engineering specifications.
  • Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments where required.
  • Evaluate and recommend AI tooling, frameworks, and infrastructure; stay current with the rapidly evolving LLM and agentic AI landscape.
  • Build and maintain evaluation frameworks to measure AI tool performance, accuracy, latency, and cost at scale.
  • Mentor junior engineers and serve as a technical resource for the broader team on AI architecture, prompt engineering, and best practices.
  • Produce thorough technical documentation: architecture decisions, integration patterns, deployment guides, and operational runbooks.
What You'll Bring

Experience and Education:

  • Bachelor's degree in Computer Science, Engineering, or related technical field - or equivalent demonstrated expertise through shipped work.
  • Portfolio of production AI applications required; GitHub, deployed tools, or detailed project case studies strongly preferred.
  • Experience in agency, startup, or high-velocity delivery environments is a strong plus.
  • Experience integrating AI tools with marketing automation, CRM, or enterprise platforms a plus.

Technical Experience:

  • 4-8+ years of software engineering experience, with 2-3+ years focused on production AI/LLM application development.
  • Deep hands-on experience with LLM frameworks - LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic SDKs, Hugging Face; able to reason about trade-offs across them.
  • Demonstrated experience building and deploying RAG systems - including vector database selection, chunking strategies, hybrid search, and evaluation pipelines.
  • Experience with agentic AI architectures - multi-agent systems, tool use, memory, and orchestration patterns.
  • Strong Python engineering - clean, testable, production-quality code; JS/Node.js a plus.
  • Experience deploying LLMs or AI tools in private/closed environments (on-prem, private cloud, VPC); security-conscious design.
  • Proficiency with automation platforms (n8n, Make, Zapier) and API integration patterns.
  • Experience with CI/CD pipelines and cloud environments (AWS, GCP, or Azure).

Skills and Attributes:

  • Architectural judgment - knows when to use RAG vs. fine-tuning, LangChain vs. custom orchestration, agent vs. workflow; makes defensible technical decisions.
  • Senior builder instinct - moves from ambiguous problem to working architecture quickly, without needing the spec handed to them.
  • Production mindset - builds for reliability, observability, and maintainability, not just for the demo.
  • Technical communicator - explains trade-offs clearly to non-technical stakeholders and writes documentation that actually gets used.
  • Multiplier - elevates the engineers around them through code review, mentorship, and shared standards.

Tools and Technologies:

  • AI & LLM Frameworks: LangChain, LangGraph, LlamaIndex, OpenAI / Anthropic SDKs, Hugging Face, Ollama, RAG patterns, vector databases, LLM fine-tuning and eval frameworks
  • Automation & Integration: n8n, Make (Integromat), Zapier, REST APIs, Webhooks, CI/CD pipelines, marketing automation platforms
  • Languages & Infrastructure: Python (required), JavaScript/Node.js, Docker, Git, AWS / GCP / Azure (working knowledge), prompt engineering, agent architecture

What success looks like:

  • 30 Days: Has independently assessed the existing AI tooling landscape at CP, identified 2-3 high-impact build opportunities, and shipped a first production-quality tool with documentation and a clean integration handoff.
  • 60 Days: Is managing a portfolio of concurrent builds across multiple use cases, has introduced at least one architectural improvement or framework recommendation that raised the quality bar, and is collaborating effectively with stakeholders to refine specs.
  • 90 Days: Has established themselves as the go-to technical authority for AI application development at CP - with a track record of reliable delivery, strong documentation, and measurable impact on operational efficiency or business outcomes.

Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to:

  • Regularly sit, grasp, talk and/or hear
  • Occasionally walk and/or stand
  • Occasionally lift and carry supplies up to 50  lbs
  • Continuous hand/eye coordination and fine manipulation
Important Information

Channel Partners Solutions is an equal opportunity employer in every aspect of employment, including but not limited to; selection, training, development and promotion of the most qualified candidates and employees without regard to their race, gender, color, religion, sexual orientation, national origin, age, physical or mental disability, citizenship status, veteran status, or any other characteristic prohibited by state or local law. Channel Partners is committed to equal employment opportunity in all other privileges, terms and conditions of employment that may not be covered in this statement. Channel Partners is an at-will employer.

Channel Partners is a team of experts delivering end-to-end retail, marketing, and consumer activation solutions across industries. We connect every part of the retail ecosystem to move brands forward with precision, speed, and measurable impact. Visit us at www.channelpartners.com for more information.

 Channel Partners is committed to protecting applicant privacy, and any personal information submitted during the hiring process is used solely for recruitment purposes in accordance with our privacy policies and applicable data protection laws, including CCPA. We restrict access to applicant data to authorized personnel and maintain safeguards to prevent unauthorized access or misuse. Applicants may have rights under these laws-such as accessing, correcting, or requesting deletion of their information-and can contact Human Resources with any questions or to exercise these rights. To view our privacy policies, please visit Privacy Policy and California Privacy RightsEmployment Type: FULL_TIME

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