Alpharetta, GA 30009 (Remote) Duration: 1 Year Contract (Possible Extension) Description: Develop, fine-tune, and optimize LLMs and modern deep learning models Write high-quality prompts ...
Alpharetta, GA 30009 (Remote) Duration: 1 Year Contract (Possible Extension) Description: Develop, fine-tune, and optimize LLMs and modern deep learning models Write high-quality prompts ...
About the Role As an open-source Machine Learning Engineer, you will work to improve the open ... We offer flexible working hours and remote options. We offer health, dental, and vision benefits ...
About the Role As an open-source Machine Learning Engineer, you will work to improve the open ... We offer flexible working hours and remote options. We offer health, dental, and vision benefits ...
About the Role As an open-source Machine Learning Engineer, you will work to improve the open ... We offer flexible working hours and remote options. We offer health, dental, and vision benefits ...
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About the Role As an open-source Machine Learning Engineer, you will work to improve the open ... We offer flexible working hours and remote options. We offer health, dental, and vision benefits ...
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Machine Learning Contract Remote information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do machine learning contract remote jobs pay per year?
As of May 29, 2026, the average yearly pay for machine learning contract remote in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?
To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.
What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?
Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.
What are machine learning contract remote jobs?
Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.
What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?
| Aspect | Machine Learning Contract Remote | Data Scientist Contract Remote |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related field; experience with ML frameworks | Degree in Statistics, Data Science, or related; proficiency in data analysis tools |
| Work Environment | Remote, project-based, often collaborative with ML engineers | Remote, analytical, often cross-functional teams |
| Employer & Industry Usage | Tech companies, AI startups, research institutions | Tech firms, finance, healthcare, consulting |
| Common Search & Comparison | Yes | Yes |
Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.
More about Machine Learning Contract Remote jobs
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What are the most commonly searched types of Machine Learning Remote jobs? The most popular types of Machine Learning Remote jobs are:
What states have the most Machine Learning Contract Remote jobs? States with the most job openings for Machine Learning Contract Remote jobs include:
What job categories do people searching Machine Learning Contract Remote jobs look for? The top searched job categories for Machine Learning Contract Remote jobs are:
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Full-time
Posted 22 days ago
Job description
Job Title: Machine Learning Engineer
Location: Alpharetta, GA 30009 (Remote)
Duration: 1 Year Contract (Possible Extension)
Description:
Develop, fine-tune, and optimize LLMs and modern deep learning models
Write high-quality prompts, instructions, and training examples to shape model behavior
Design, implement, and maintain instruction orchestration and evaluation workflows for LLM-based systems
Build and maintain training pipelines, datasets, and evaluation workflows
Design and execute functional and automated tests to validate AI outputs and system behavior
Analyze model performance, identify failure patterns (e.g., accuracy gaps, hallucinations, edge cases), and drive improvements
Collaborate with engineering and product teams (and review partner or vendor work) to deploy and iterate on AI features
Contribute to the ongoing maintenance and improvement of existing AI systems
Requirements:
7+ years of experience in machine learning, NLP, or deep learning
Hands-on experience with LLMs (GPT, LLaMA, Mistral, or similar) in applied or production contexts
Healthcare data experience is required, including working knowledge of:
Strong Python skills; experience with PyTorch or TensorFlow
Familiarity with HuggingFace tools and modern model-training workflows
Experience evaluating AI output quality, hallucination behavior, reliability, and consistency
Experience designing automated evaluation, regression testing, or benchmarking pipelines for AI systems
Ability to work with minimal direction, take ownership of problem areas, and operate effectively in ambiguous problem spaces
Excellent communication skills for writing prompts, instructions, technical documentation, and evaluation artifacts
Experience optimizing LLM and deep learning workloads on AWS, including model training, GPU utilization, and cost-efficient inference deployments
Location: Alpharetta, GA 30009 (Remote)
Duration: 1 Year Contract (Possible Extension)
Description:
Develop, fine-tune, and optimize LLMs and modern deep learning models
Write high-quality prompts, instructions, and training examples to shape model behavior
Design, implement, and maintain instruction orchestration and evaluation workflows for LLM-based systems
Build and maintain training pipelines, datasets, and evaluation workflows
Design and execute functional and automated tests to validate AI outputs and system behavior
Analyze model performance, identify failure patterns (e.g., accuracy gaps, hallucinations, edge cases), and drive improvements
Collaborate with engineering and product teams (and review partner or vendor work) to deploy and iterate on AI features
Contribute to the ongoing maintenance and improvement of existing AI systems
Requirements:
7+ years of experience in machine learning, NLP, or deep learning
Hands-on experience with LLMs (GPT, LLaMA, Mistral, or similar) in applied or production contexts
Healthcare data experience is required, including working knowledge of:
Strong Python skills; experience with PyTorch or TensorFlow
Familiarity with HuggingFace tools and modern model-training workflows
Experience evaluating AI output quality, hallucination behavior, reliability, and consistency
Experience designing automated evaluation, regression testing, or benchmarking pipelines for AI systems
Ability to work with minimal direction, take ownership of problem areas, and operate effectively in ambiguous problem spaces
Excellent communication skills for writing prompts, instructions, technical documentation, and evaluation artifacts
Experience optimizing LLM and deep learning workloads on AWS, including model training, GPU utilization, and cost-efficient inference deployments
About Lorven technologies
Sourced by ZipRecruiter
Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001