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Machine Learning Contract Remote Jobs in Arlington, TX

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Showing results 21-40

Machine Learning Contract Remote information

See Arlington, TX salary details

$22.9K

$38.3K

$79.2K

How much do machine learning contract remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning contract remote in Arlington, TX is $38,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,200.00 and $41,400.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

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 skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

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 common challenges faced by remote machine learning contractors, and how can they be 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 is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

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.

What are the most commonly searched types of Machine Learning Remote jobs in Arlington, TX?

The most popular types of Machine Learning Remote jobs in Arlington, TX are:

What are popular job titles related to Machine Learning Contract Remote jobs in Arlington, TX?

For Machine Learning Contract Remote jobs in Arlington, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Arlington, TX look for?

The top searched job categories for Machine Learning Contract Remote jobs in Arlington, TX are:

What cities near Arlington, TX are hiring for Machine Learning Contract Remote jobs?

Cities near Arlington, TX with the most Machine Learning Contract Remote job openings:

Infographic showing various Machine Learning Contract Remote job openings in Arlington, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,323 per year, or $18.4 per hour.

AI Lead Engineer

Delan Associates, Inc.

Dallas, TX • On-site, Remote

$101K - $133K/yr

Contractor

Posted 16 days ago


Job description

AI Lead Engineer
Dallas, TX (REMOTE)
15+ Years
Must-Have Skills
* Artificial Intelligence (AI) & Machine Learning (ML)
* Deep Learning
* Generative AI (GenAI)
* Large Language Models (LLMs)
* Prompt Engineering
* Retrieval-Augmented Generation (RAG)
* Embeddings & Vector Databases
* Fine-tuning LLMs
* Python
* TensorFlow
* PyTorch
* Scikit-learn
* Data Preprocessing & Feature Engineering
* Model Training, Validation & Evaluation
* Statistics & ML Algorithms
* MLOps
* CI/CD Pipelines
* Docker
* Kubernetes
* REST APIs & Microservices
* Cloud Platforms (Azure / AWS / GCP)
* AI Model Deployment & Productionization
* Security, Privacy & Responsible AI
* Problem Solving & Analytical Skills
* Agile/Scrum
Preferred (Good to Have):
* Retail domain experience
* Enterprise Transformation projects
* Model Governance
* Stakeholder Management
* Excellent Communication Skills