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Freelance Llm Engineer Jobs (NOW HIRING)

Immortals

Director/Sr. Director, Discoverability

$175/hr

... engineer, content writer, transcript pipeline engineer, schema vendor, LLM tracking vendor ... Experience managing cross-functional teams of contractors, freelancers, and vendors simultaneously

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Freelance Llm Engineer information

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$47

$132

How much do freelance llm engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for freelance llm engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a freelance LLM engineer?

To thrive as a Freelance LLM Engineer, you need strong expertise in machine learning, natural language processing, and software engineering, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks such as Python, PyTorch or TensorFlow, and experience with APIs and cloud platforms are essential, along with familiarity with large language model architectures. Excellent problem-solving, communication, and time management skills help you meet client needs and manage projects independently. These skills and qualities are crucial for delivering high-quality AI solutions and maintaining a successful freelance career in a fast-evolving field.

What are some common collaboration methods for freelance LLM engineers working with distributed teams?

Freelance LLM Engineers often collaborate with distributed teams through regular video meetings, shared version control platforms like GitHub, and project management tools such as Jira or Trello. Clear communication is key, as projects may involve cross-functional teams including data scientists, product managers, and software engineers. Establishing well-documented workflows and using asynchronous communication channels (like Slack or email) ensures smooth progress despite differing time zones. Being proactive in providing updates and clarifying requirements helps minimize misunderstandings and keeps projects on track.

Are freelance Llm engineers in demand?

Freelance Llm engineers are increasingly in demand due to the growing adoption of large language models across industries. Skills in machine learning, natural language processing, and experience with tools like TensorFlow or PyTorch enhance job prospects, with many companies seeking flexible, project-based expertise in AI development.

What is the difference between Freelance Llm Engineer vs Data Scientist?

AspectFreelance Llm EngineerData Scientist
CredentialsTypically requires expertise in machine learning, NLP, and programming languages like Python or TensorFlowRequires background in statistics, programming, and data analysis, often with degrees in data science or related fields
Work EnvironmentFreelance projects, remote or client-site, often project-basedFull-time or freelance, working in teams or independently, often in tech or finance industries
Industry UsageUsed in AI development, NLP applications, and machine learning projectsApplied in analytics, predictive modeling, and data-driven decision making

While both roles involve working with data and programming, Freelance Llm Engineers focus on developing large language models and NLP solutions, often on a freelance basis. Data Scientists analyze data to extract insights and build models, typically in a more structured employment setting. The roles overlap in technical skills but differ in project focus and work environment.

What is a freelance LLM engineer?

Freelance LLM Engineers are independent professionals who specialize in developing, fine-tuning, and deploying large language models (LLMs) such as GPT, BERT, or similar AI models. They work on a contract or project basis for various clients, helping to implement natural language processing solutions, optimize models for specific tasks, or integrate LLMs into products and services. Their expertise often includes machine learning, data engineering, and prompt engineering, allowing businesses to leverage advanced AI capabilities without hiring full-time staff.

How much do freelance Llm engineers get paid?

Freelance LLM engineers typically earn between $50 and $150 per hour, depending on experience, expertise in machine learning and natural language processing, and project complexity. Rates can vary widely based on the scope of work, client budget, and the engineer's skill level.
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Freelance Llm Engineer jobs near you
Infographic showing various Freelance Llm Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Chatbot Developer (WhatsApp, Telegram, Discord) - Freelance

Mindrift

Brooklyn, NY • Remote

$60/hr

Part-time

Re-posted 6 days ago

Job description

Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.ai/) and build conversational bots and messaging-platform integrations for real-world applications. In this role, you'll use your bot engineering expertise, conversational design skills, and quality-focused approach to build reliable, useful bots and messaging integrations that deliver a great user experience. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role 

This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms - for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.

Key Responsibilities

  • Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.
  • Design and implement conversational flows, dialogue state, and fallback handling.
  • Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.
  • Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).
  • Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).
  • Review, debug, optimize, and refactor bot implementations to improve correctness, reliability, maintainability, and graceful error handling.
  • Implement logging, monitoring, and recovery so bots stay healthy in production.

Requirements and benefits

Educational qualifications

  • At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).
  • Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and build stable, user-friendly bot experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.

Technical Skills (Essential)

  • At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required
  • Strong command of Python or Node.js for backend bot logic.
  • Solid experience with REST APIs, webhooks, OAuth, and async request handling.
  • Experience with relational or NoSQL databases for storing conversation state and user data.
  • Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.
  • Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).
  • Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)

Additional requirements

  • Strong attention to detail and commitment to bot reliability - no silent failures, no broken flows.
  • Self-directed work ethic with the ability to design and ship complete bots independently.
  • Portfolio or examples of bots you've built (required).
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you? 

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply