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Machine Learning Contract Remote Jobs in Dallas, TX

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Hands-on experience using statistical or machine learning frameworks to solve a variety of real ...

We encourage cross-training, ongoing development, and a commitment to learning across all areas of ... Ability to work independently in a fully remote environment while staying highly responsive and ...

Government Contract Mandates and access to sensitive public safety data. * Experience with ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Experience supporting machine learning workflows or analytical data science pipelines * Knowledge of distributed computing concepts and performance tuning This is a remote position.

Showing results 41-60

Machine Learning Contract Remote information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

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 Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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 Dallas, TX?

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

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

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

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

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

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

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

Infographic showing various Machine Learning Contract Remote job openings in Dallas, 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 $42,125 per year, or $20.3 per hour.

Principal AI Security Strategist - WFH

Health Care Service Corporation

Richardson, TX • Remote

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryThis position is responsible for defining, advancing, and governing the enterprise AI Security strategy, architecture, and risk management program to enable the secure adoption and use of artificial intelligence technologies across the organization. The role will develop security standards, reference architectures, control frameworks, and governance practices that address current and emerging risks associated with generative AI, machine learning, autonomous agents, model development, and third-party AI services.
Serving as the organization's senior AI security subject matter expert, this position partners closely with enterprise architecture, security engineering, data, legal, compliance, privacy, and business leaders to ensure AI solutions are developed, procured, and operated in a secure, compliant, and responsible manner. The role provides strategic guidance and architectural leadership to influence enterprise technology decisions and establish security requirements for AI platforms, models, and business use cases.

NOTE: This is a WFH role. Sponsorship is not available including if you are currently on OPT.

Required Job Qualifications:

*Bachelor's Degree and 12 years of experience in information security, cybersecurity architecture, technology risk, or related disciplines, including expertise in AI security, cloud security, application security, data security, and emerging technology risk management.

*Experience developing AI security strategies, governance frameworks, standards, risk assessments, and control requirements for enterprise AI and machine learning deployments.

*Deep understanding of artificial intelligence, machine learning, generative AI, large language models (LLMs), autonomous agents, and AI platform security.

*Experience designing security architectures, governance frameworks, and risk controls for AI platforms, machine learning environments, cloud services, data platforms, and enterprise applications.

*Deep understanding of AI-specific security threats and controls, including prompt injection, model poisoning, model theft, excessive agency, insecure output handling, data leakage, and third-party AI risk management.

*Understanding of enterprise risk management principles and processes, including the assessment and mitigation of risks associated with AI adoption and emerging technologies.

*Understanding of enterprise technologies, operations, and architectural principles, including cloud services, data platforms, APIs, application development, and modern technology ecosystems supporting AI-enabled business capabilities.

*Experience with requirements analysis and the development of use cases, security architectures, reference models, architectural principles, standards, and design patterns.

*Experience developing AI governance standards, security review processes, security architecture requirements, and risk management frameworks supporting responsible and secure AI adoption.

*Knowledge of applicable laws, regulations, industry standards, and emerging regulatory requirements related to artificial intelligence, data protection, privacy, and healthcare.

*Written and verbal communication skills with the ability to effectively present complex AI security, technology risk, and governance concepts to executive, business, legal, and technical audiences.

Preferred Qualifications:

*Master's Degree in Cybersecurity, Computer Science, Artificial Intelligence, Data Science, or a related field.

*Industry certifications such as CISSP, CISM, CCSP, SABSA, or equivalent security architecture certifications.

*Experience establishing or leading an enterprise AI Security program, AI governance function, or responsible AI initiative.

*Experience with NIST AI Risk Management Framework (AI RMF), OWASP Top 10 for LLM Applications, AI governance frameworks, and secure AI development practices.

*Experience evaluating and securing commercial AI platforms, AI-enabled applications, and third-party AI service providers.

*Experience within a highly regulated industry such as healthcare, financial services, or critical infrastructure.

*Recognized thought leadership in AI security through speaking engagements, publications, industry participation, standards development, or community contributions.

#LI-BS1

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Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$146,700.00 - $272,400.00

Exact compensation may vary based on skills, experience, and location.