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Remote Llm Trainer Jobs (NOW HIRING)

Deep expertise in LLM training or post-training / deployment at scale * Strong technical leadership ... History of contributions to open-source ML projects #LI-Remote #LI-RC1 #LI-KM1 Benefits of Working ...

Deep expertise in LLM training or post-training / deployment at scale * Strong technical leadership ... History of contributions to open-source ML projects #LI-Remote #LI-RC1 #LI-KM1 Benefits of Working ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Improve accuracy by employing systematic experimentation, prompt engineering, data and training ... Guide teams in adopting and building LLM-powered applications, including context engineering ...

Senior AI Engineer (Remote)

Sarasota, FL · Remote

$125K - $165K/yr

You've shipped production LLM-backed features retrieval-augmented generation, streaming responses ... benefits, training, and apprenticeship. Our Company makes hiring decisions based solely on ...

Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ... Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation ...

Showing results 41-60

Remote Llm Trainer information

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$15

$36

$92

How much do remote llm trainer jobs pay per hour?

As of Sep 14, 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 is a remote LLM trainer?

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 does a remote LLM trainer do?

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 the key skills and qualifications needed to thrive as a remote LLM trainer?

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 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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Infographic showing various Remote Llm Trainer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $76,772 per year, or $36.9 per hour.

Data Scientist, Applied AI/ML

Remote

CrowdStrike
IT Services • 1 - 5K employees

Full-time

Medical, Retirement, PTO

Posted 29 days ago


Job description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.


About the Role:

CrowdStrike is seeking a Data Scientist to join our team building the next generation of AI/ML technologies. You will work closely with other scientists, software engineers and product managers to provide technical leadership and strategic direction, while driving hands-on-keyboard innovation in our AI capabilities.


You will help shape the technical vision, collaborate with team members, and create impactful LLM-driven applications. This is a unique opportunity to lead groundbreaking developments in AI safety, AI red-teaming, and applied AI deployments that will revolutionize how we interact with AI systems safely. This opportunity is ideal for someone who likes to apply cutting-edge technologies to live cyber-relevant problem sets.


What You'll Do:

  • Work alongside teammates to develop clever, innovative, and efficient solutions to problems in AI safety and cyber detection.

  • Co-develop strategies and implementations for end-to-end research and development: data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering collaboration.

  • Interoperate with product and engineering teams to ensure that you are designing and building the right solutions: fit-for-purpose, efficient, computable, and maintainable.

  • Drive innovation in LLM-related research and development in close collaboration with security experts.

  • Intelligently managed trade-offs between accuracy, efficiency, and operational costs of fielded AI/ML models.

  • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies

  • Lead and architect the research strategy for new GenAI agents/LLMs, setting the technical direction for the team

  • Drive innovation in LLM applications, including novel approaches to reasoning, summarisation, and interactivity

  • Mentor and guide Data Scientists while fostering a culture of engineering excellence

  • Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals

  • Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership

  • Establish best practices, technical standards, and evaluation frameworks for the team


What You'll Need:

  • Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field

  • 5+ years of applied machine learning / research experience, with demonstrated expertise in developing production-grade models

  • Deep expertise in LLM training or post-training / deployment at scale

  • Strong technical leadership experience, including mentoring teams and driving technical strategy

  • Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies

  • Expert-level understanding of GPU technologies and optimisation techniques

  • Outstanding communication skills with ability to influence senior stakeholders

  • Track record of solving complex technical challenges at scale


Bonus Points:

  • Patents or significant intellectual property contributions in AI

  • Strong research portfolio with publications in leading AI journals and conferences

  • Experience with cybersecurity applications of machine learning

  • Track record of successful research-to-production implementations at scale

  • History of contributions to open-source ML projects

#LI-Remote
#LI-RC1

#LI-KM1

Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs

  • Competitive vacation and holidays for recharge

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.

Expected Close Date of Job Posting is:10-14-2026

CrowdStrike logo

About CrowdStrike

Sourced by ZipRecruiter

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We're looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Sunnyvale, CA, US

Year founded

2012