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Contract Llm Training Jobs (NOW HIRING)

Five9

WEM AQM Prompt Engineer

OR · On-site +1

Stay current with LLM developments, prompt engineering research, and the evolving Five9 AQM product ... Experience developing training materials or internal knowledge base documentation. Background in ...

Mercor

AI Workflow Evaluator - AI Trainer

New York, NY · Remote

$50 - $190/hr

Contract Compensation: $50-$190/hour Location: Remote Commitment: 20+ hours/week Role ... Experience using LLM plugins/connectors like Google Drive , Expedia , and Notion . * Heavy personal ...

Howmet Aerospace

Government Contracts Manager

Torrance, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... contract issues and compliance. This person will be the primary resource to Account and Sales ... Prepare and conduct training on various government contracting topics . * Develop process ...

Peraton

Systems Engineering, Advisor

$104K - $166K/yr

... GPU-accelerated training environments. * Experience architecting and deploying AI/ML or LLM ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

The Wells Companies Inc.

CONTRACTS INTERN

Jacksonville, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will play a hands-on role in consolidating legacy contract data, onboarding documents into ... Support the Legal Department with training, Scribe recording, and SOPs. WHO WERE LOOKING FOR The ...

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Contract Llm Training information

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$15

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How much do contract llm training jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for contract llm training in the United States is $36.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $52.88 per hour, depending on experience, location, and employer.

What is the difference between Contract Llm Training vs Contract Attorney?

AspectContract Llm TrainingContract Attorney
CredentialsLaw degree, LLM specialization, possibly bar admissionLaw degree, bar admission, legal experience
Work EnvironmentLegal education, training programs, law firms, corporate legal departmentsLegal practice, client consultations, negotiations, document review
Employer & IndustryLaw schools, training providers, legal consulting firmsLaw firms, corporations, government agencies

Contract Llm Training focuses on providing specialized legal education and training, often for career development or niche expertise. Contract Attorneys are practicing lawyers hired on a temporary basis to handle legal tasks. While both roles require legal credentials, Contract Llm Training is education-oriented, whereas Contract Attorneys are active legal practitioners.

What is a contract LLM training specialist?

Contract LLM Training jobs involve working on a contractual basis to train large language models (LLMs), such as those used in AI applications. These roles typically require expertise in machine learning, natural language processing, and data annotation. Contractors may be responsible for data curation, prompt engineering, model fine-tuning, and evaluating LLM outputs. This type of work is often remote and project-based, suitable for individuals seeking flexible opportunities in AI development.

What are the key skills and qualifications needed to thrive as a contract LLM training specialist?

To excel as a Contract LLM Training Specialist, you need a deep understanding of legal principles, contract law, and experience in legal education or training, often supported by a Juris Doctor (JD) or LLM degree. Familiarity with legal research databases, learning management systems (LMS), and online collaboration tools is typically required. Exceptional communication, presentation skills, and the ability to adapt complex legal concepts for diverse audiences make professionals stand out in this field. These skills ensure effective training delivery, compliance with legal standards, and enhanced learning outcomes for legal professionals.

What are some common challenges faced while working as a contract LLM training specialist, and how can job seekers prepare for them?

Contract LLM training specialists often face the challenge of quickly adapting to different project requirements, data sets, and client expectations. Since contract roles can vary in scope and duration, effective communication and time management skills are essential to deliver high-quality results within tight deadlines. Additionally, staying current with the latest advancements in large language model architectures and fine-tuning techniques is crucial. Job seekers can prepare by building a strong technical portfolio, networking within the AI community, and proactively seeking feedback on their work to continually improve.

What cities are hiring for Contract Llm Training jobs?

Cities with the most Contract 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 Contract Llm Training jobs?

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What job categories do people searching Contract Llm Training jobs look for?

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Contract Llm Training jobs near you
Infographic showing various Contract Llm Training job openings in the United States as of August 2026, with employment types broken down into 33% Part Time, 33% Temporary, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $76,772 per year, or $36.9 per hour.

Principal Software Quality Engineer - GPU & Machine Learning

Advanced Micro Devices, Inc

San Jose, CA • On-site

$210K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.
THE ROLE:
We are seeking a Principal Software Engineer to serve as the senior technical leader for ROCm software validation across compute workloads and server-class systems. In this individual-contributor leadership role, you will define how AMD proves ROCm is ready to ship - from unit and component testing, through full-stack workload validation, to multi-node system-level qualification on AMD Instinct™ GPU platforms. You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production.
THE PERSON:
You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production.
KEY RESPONSIBILITIES:
  • Own the end-to-end validation architecture for ROCm - unit, integration, framework, workload, performance, stress, stability, scale-out, and system-level test layers - across multiple GPU generations and server platforms.
  • Define release-qualification gates and exit criteria for ROCm software releases (functional coverage, performance regressions, stability hours, scale targets, RAS criteria) and drive the org to meet them.
  • Architect the test infrastructure - distributed test runners, GitHub Actions / Jenkins / internal CI fleets, hardware lab orchestration, result data lakes, flaky-test detection, bisection automation, and self-service developer pre-submit pipelines.
  • Champion modern, agile quality engineering - shift-left testing, test pyramids, contract testing between layers, hermetic test environments, deterministic reproducers, and continuous validation in trunk.
  • Set the bar for GitHub-based quality workflows - PR gating policy, required checks, code-coverage standards, bug-bash and triage cadences, and disciplined issue management across ROCm/* repositories and partner upstream projects.
  • Lead complex escalation debug - partner with development, hardware, firmware, and customer-facing teams to root-cause the hardest multi-day, multi-node, multi-component failures and convert findings into durable test coverage.
  • Influence the roadmap - work with product management, silicon, platform, and software architecture to ensure validation readiness for next-generation Instinct GPUs and server platforms before tape-in milestones and silicon arrival.
  • Mentor and elevate Senior and Staff validation engineers, SDETs, and SQA leads; raise the technical bar through design review, code review, and written guidance.
  • Represent ROCm validation externally - strategic customer engagements, OEM qualification programs, and open-source community quality initiatives.
  • Lead system-level testing for server nodes - multi-GPU topologies, PCIe/Infinity Fabric/xGMI, BMC/IPMI, thermal/power, firmware interactions, and multi-node fabric (Ethernet/InfiniBand/UALink) bring-up and validation.Drive compute workload validation and characterization - LLM training and inference (PyTorch, vLLM, Triton, JAX), recommender systems, scientific HPC kernels, MLPerf-class benchmarks - establishing reproducible methodology, baselines, and regression tracking.

PREFERRED EXPERIENCE:
  • Software engineering experience in validation, SDET, or quality engineering, including experience leading complex systems validation.
  • Expert Python for test automation and infrastructure; strong C++ for debugging and extending production code.
  • Deep validation expertise in two or more of the following:
    • GPU software stacks (ROCm, CUDA, oneAPI, SYCL)
    • AI/ML frameworks (PyTorch, TensorFlow, JAX, Triton, vLLM)
    • HPC runtimes and communication libraries (MPI, RCCL/NCCL, UCX, Libfabric)
    • Linux kernel, GPU drivers, or accelerator firmware
    • Distributed systems and large-scale cluster software
  • Experience validating multi-GPU, multi-node server platforms, including stress, soak, fault injection, and RAS testing.
  • Experience defining and delivering release qualification programs for hyperscalers, OEMs, or Tier-1 customers.
  • Contributions to validation, CI, or test infrastructure for ROCm, PyTorch, LLVM, Triton, vLLM, or similar open-source projects.
  • Experience leading adoption of agentic AI workflows, including automated testing, AI-driven debugging, MCP, and RAG-based engineering solutions.
  • Experience validating or operating large-scale GPU clusters (256+ GPUs), including fabric bring-up, health monitoring, and diagnostics.
  • Familiarity with AI training, inference, and HPC benchmark methodologies.
  • Experience with performance validation, profiling tools (rocprof, Omniperf, Nsight), and regression analysis.
  • Familiarity with hardware lab automation, including BMC/IPMI/Redfish, PDU control, serial consoles, automated re-imaging, and topology-aware scheduling.
  • Experience supporting validation for pre-silicon, emulation, and first-silicon accelerator bring-up.

ACADEMIC CREDENTIALS:
  • BS/MS/PhD in Computer Science, Computer Engineering, or related discipline (or equivalent demonstrated experience).

LOCATION: San Jose, California
#LI-DR1
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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