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Remote Llm Trainer Jobs (NOW HIRING)

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Senior LLM & ML Engineer (100% REMOTE)

Farmington Hills, MI · Remote

$102.80K - $141.20K/yr

Senior/Principal LLM & ML Engineer (100% REMOTE) Full Time Role As a Senior/Principal LLM & ML ... Develop scalable training and inference infrastructure leveraging multi-GPU environments (A100/H100 ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

Get to Know Us Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission ... Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling ...

DivIHN

AI Engineer (Remote)

San Diego, CA · On-site +1

AI Engineer (Remote) Duration: 12 Months Location: San Diego, CA Work Schedule: 8 AM - 5 PM PT Only ... the data for LLM training and usage. 5. LLM Fine-Tuning and Training: Fine-tune and train ...

YO IT Consulting

Japanese AI Data Trainer - Remote

... Data Trainer to improve the safety and reliability of advanced AI systems. This remote role ... • Proven LLM red-teaming or adversarial testing experience (required) • Strong ability to ...

YO IT Consulting

German AI Data Trainer - Remote

YO IT Consulting is seeking a German AI Data Trainer for a remote, contractor role focused on ... LLM red-teaming or adversarial testing (required) • Strong ability to analyze and localize ...

YO IT Consulting

German AI Data Trainer - Remote

YO IT Consulting is seeking a German AI Data Trainer for a remote, contractor role focused on ... LLM red-teaming or adversarial testing (required) • Strong ability to analyze and localize ...

YO IT Consulting

Japanese AI Data Trainer - Remote

... Data Trainer to improve the safety and reliability of advanced AI systems. This remote role ... • Proven LLM red-teaming or adversarial testing experience (required) • Strong ability to ...

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How much do remote llm trainer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote llm trainer 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 are the key skills and qualifications needed to thrive as a Remote LLM Trainer, and why are they important?

To thrive as a Remote LLM Trainer, you need a deep understanding of machine learning, natural language processing, and large language models, typically supported by a degree in computer science or related fields. Experience with Python, deep learning frameworks like TensorFlow or PyTorch, and familiarity with annotation tools or data labeling platforms is essential. Strong communication, attention to detail, and the ability to work independently are standout soft skills in this role. These skills and qualities ensure accurate model training, effective collaboration with distributed teams, and the delivery of high-quality AI solutions.

What does a typical workday look like for a Remote LLM Trainer, and how do they collaborate with team members?

As a Remote LLM Trainer, your workday often involves creating, curating, and reviewing datasets, developing prompts, and evaluating large language model outputs for quality and safety. Much of your collaboration happens asynchronously through digital channels—such as project management tools, messaging platforms, and regular video meetings—with researchers, data scientists, and fellow trainers. You may also participate in feedback sessions to discuss model behavior and share insights on improving training methodologies. Adapting to rapidly evolving project requirements and maintaining clear communication are key to success in this distributed, fast-paced environment.

What are Remote LLM Trainers?

Remote LLM Trainers are professionals who work from any location to help train large language models (LLMs) by providing high-quality data, evaluating model outputs, and refining model behavior. They may annotate data, review AI-generated content, or design prompts and tasks to improve the model's performance. These roles are crucial in ensuring that LLMs become more accurate, safe, and useful across various applications. Remote LLM Trainers often have backgrounds in language, linguistics, data science, or related fields and rely on digital tools to collaborate with AI development teams.

What is the difference between Remote Llm Trainer vs Data Scientist?

AspectRemote Llm TrainerData Scientist
Required CredentialsBackground in AI, NLP, or machine learning; often a degree in computer science or related fieldDegree in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentRemote, collaborative teams developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and deriving insights
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting, and research organizations

While both roles involve working with data and machine learning, a Remote Llm Trainer specializes in training and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various industries.

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Remote Llm Trainer jobs near you

AI/LLM Engineer (remote)

Safe Sign Technologies

Cambridge, MA • On-site, Remote

$150K/yr

Full-time

Posted 15 days ago

Job description

Join Safe Sign Technologies, a cutting-edge legal technology start-up founded at the University of Cambridge. Safe Sign aims to democratise the law for all people, equipping consumers and SMEs with robust and reliable tools to navigate legal complexity. As an AI/LLM Engineer, you will work alongside a world-leading team, innovating and delivering best-in-class technologies, often in demanding conditions and against challenging deadlines. Independent working, subject matter excellence and proactiveness are essential.
Responsibilities
  • LLM prompt engineering (Instruction Tuning, Chain-of-thought, automated prompt Engineering)
  • LLM training & fine-tuning (Parameter Efficient, Few-medium shot, )
  • Experimentation
  • Analysis and presenting results
  • Active study and keeping up with research literature
  • Ability to work independently
  • Ability to work towards an agreed goal and meet demanding deadlines

Qualifications and experience
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related fields
  • Ability to implement and verify state-of-the-art algorithms
  • Experience running and managing experiments, analysing results and creating insights
  • Proficiency in software development (Python, Github, Jupyer Notebooks, etc.)
  • Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow)
  • Experience with ML / LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.)
  • Good problem-solving and communication skills
  • Ability to work in a dynamic and fast-paced environment
  • Ability to demonstrate passion and knowledge in terms of relevant research topics
  • Experience solving complex technical problems

Qualifications and experience (preferred)
  • Master's or PhD in NLP or Machine Learning
  • First author/lead author publications at leading AI and NLP conferences (such as EMNLP, ACL, ICLR, ICML, NeuRIPS)
  • Demonstrated projects where relevant expertise has been used for real problems
  • Several years of experience working in this field

Salary & Benefits
  • Up to $150k/year salary
  • Real ability to shape technical agenda and have a deep impact
  • Mentorship and advice from top ML scientists (ex- or current DeepMind, Cambridge, UCL, Harvard)
  • Fully remote working

Apply