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Remote Large Language Model Llm Jobs in Boston, MA

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

Familiarity with NLP and large language models is important. * Analytical problem-solving: Ability ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Exemplar Companies

Senior Solutions Architect

Boston, MA · Remote

$160K/yr

Remote - United States Job Type: Full-Time, Permanent About Exemplar Companies Exemplar Companies ... Experience with AI, machine learning, and large language models (LLMs) technologies. * Familiarity ...

Exemplar Companies

Senior Solutions Architect

Boston, MA · Remote

$130K - $160K/yr

Remote - United States Job Type: Full-Time, Permanent About Exemplar Companies Exemplar Companies ... Experience with AI, machine learning, and large language models (LLMs) technologies. * Familiarity ...

Draper

AI Cyber Principal

Cambridge, MA · On-site +1

$100K - $275K/yr

Lead cross-functional initiatives to use AI and Large Language Models (LLMs) to enhance incident response, alert triage, threat hunting, and automated remediation * Design security controls for AI/ML ...

Draper

AI Cyber Principal

Cambridge, MA · On-site +1

$100K - $275K/yr

Lead cross-functional initiatives to use AI and Large Language Models (LLMs) to enhance incident response, alert triage, threat hunting, and automated remediation * Design security controls for AI/ML ...

Varsity Tutors

ChatGPT Tutor

Cambridge, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Lowell, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Waltham, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Newton, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Lynn, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Quincy, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Boston, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Somerville, MA · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

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Remote Large Language Model Llm information

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$26

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How much do remote large language model llm jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote large language model llm in Boston, MA is $26.44, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $31.59 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Boston, MA?

The most popular types of Large Language Model Llm jobs in Boston, MA are:

What are popular job titles related to Remote Large Language Model Llm jobs in Boston, MA?

For Remote Large Language Model Llm jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in Boston, MA look for?

The top searched job categories for Remote Large Language Model Llm jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Large Language Model Llm jobs?

Cities near Boston, MA with the most Remote Large Language Model Llm job openings:

Remote Large Language Model Llm jobs near you

Machine Learning Engineering Manager, Personalization

Spotify

Boston, MA • On-site, Remote

$184K - $262K/yr

Other

Medical, Retirement, PTO

Re-posted 21 days ago

Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix. As part of Personalization's broader strategy, the team is also helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models, including fine-tuning models to improve the quality, relevance, and personalization of our playlists. As the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day.
What You'll Do
  • Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.
  • Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.
  • Guide the design, development, deployment, and operation of production machine learning systems at scale.
  • Support engineers through technical mentorship, career development, performance management, and regular feedback.
  • Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
  • Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
  • Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
  • Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.

Who You Are
  • You have experience leading and developing high-performing engineering teams.
  • You have built trust through coaching, mentoring, and supporting engineers in their career growth.
  • You have deep expertise building and operating production machine learning systems at scale.
  • You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
  • You are experienced working with modern machine learning techniques, including large language models and generative AI applications.
  • You communicate effectively across engineering, product, and data science partners.
  • You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
  • You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.
The United States base range for this position is $184,049- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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