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How much do part time llm engineer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for part time llm engineer in the United States is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $71.15 per hour, depending on experience, location, and employer.

What are some common challenges faced by Part Time LLM Engineers, and how can they effectively manage their workload?

Part Time LLM Engineers often balance multiple projects or commitments, which can make time management and task prioritization challenging. They may also face difficulties staying up-to-date with rapidly evolving large language model technologies while working fewer hours. Effective strategies include setting clear boundaries for work hours, proactively communicating availability and progress with the team, and leveraging project management tools to track tasks. Staying engaged with professional communities and regularly reviewing documentation can also help part time engineers stay current and connected.

What is the difference between Part Time Llm Engineer vs Part Time Legal Data Analyst?

AspectPart Time Llm EngineerPart Time Legal Data Analyst
Required CredentialsEngineering degree, LLM preferred, technical certificationsLegal degree, certifications in data analysis or legal tech
Work EnvironmentTech firms, legal tech companies, remote or on-siteLaw firms, legal departments, remote or on-site
Industry UsageLegal technology, AI development, software engineeringLegal research, case analysis, data management

Part Time Llm Engineers focus on developing legal technology solutions, combining engineering skills with legal knowledge. In contrast, Part Time Legal Data Analysts interpret legal data to support case strategies. Both roles often work in legal tech environments but differ in technical versus analytical focus.

What is a part-time LLM engineer?

A part-time LLM (Large Language Model) engineer is a professional who works with advanced AI language models, such as those developed by OpenAI or Google, on a reduced or flexible schedule rather than full-time. Their responsibilities typically include developing, fine-tuning, and integrating LLMs into various applications, ensuring the models perform accurately and efficiently. Part-time LLM engineers may contribute to projects remotely, collaborate with teams on specific tasks, or support ongoing development needs without the commitment of standard full-time hours. This role is ideal for those seeking work-life balance, specialized project work, or additional income.

What are the key skills and qualifications needed to thrive as a Part Time LLM Engineer, and why are they important?

To thrive as a Part Time LLM Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as PyTorch or TensorFlow, and version control systems like Git is crucial, along with experience using large language models (LLMs) and associated APIs. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this role. These skills ensure you can efficiently develop, fine-tune, and deploy LLM solutions while collaborating remotely or asynchronously within a team.
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Part Time Llm Engineer jobs near you
Infographic showing various Part Time Llm Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Houston, TX • Remote

$45/hr

Part-time

Re-posted 23 days ago

Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • 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 $45 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.

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