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Machine Learning Contract Remote Jobs in Colorado

This is a fully remote, flexible contract role ideal for someone who thrives at the intersection of ... No prior AI or machine learning experience required Requirements * Bachelor's degree in Business ...

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, hybrid role which will require you to work ...

... remote environment while traveling to collaborate with global stakeholders and influence supply chain operations in-market. What You'll Do * Build and scale enterprise AI and machine learning ...

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

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Machine Learning Contract Remote information

See Colorado salary details

$7

$21

$54

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

As of Jun 1, 2026, the average hourly pay for machine learning contract remote in Colorado is $21.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $25.10 per hour, 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?

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 Colorado? The most popular types of Machine Learning Remote jobs in Colorado are:
What are popular job titles related to Machine Learning Contract Remote jobs in Colorado? For Machine Learning Contract Remote jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Machine Learning Contract Remote jobs? Cities in Colorado with the most Machine Learning Contract Remote job openings:

Business Performance Analyst

Alignerr

Denver, CO • Remote

Full-time

Posted 10 days ago


Job description

Business Performance Analyst (AI Training)
About the Role
What if your business acumen and leadership experience could directly shape how AI reasons about finance, strategy, and operations - for millions of users worldwide? We're looking for experienced Business Performance Analysts to lead and mentor teams of analysts creating high-quality business content that trains cutting-edge AI models.
This is a fully remote, flexible contract role ideal for someone who thrives at the intersection of people management, analytical rigour, and domain expertise. No prior AI experience required - your business knowledge is what matters.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
  • What You'll Do
    • Lead and mentor a team of Business Analysts and Content Specialists producing business-focused AI training content
    • Allocate tasks, manage workflows, and ensure timely, high-quality delivery across projects
    • Conduct quality assurance reviews and continuously refine team processes for greater efficiency
    • Provide constructive performance feedback, coaching, and professional development support
    • Serve as the primary point of contact for project stakeholders, delivering clear and regular updates
    • Guide the creation of case studies, business scenarios, and structured analytical content spanning finance, policy, e-commerce, and more
    Who You Are
    • Experienced people manager with a proven track record of leading analytical or content-focused teams
    • Strong background in business analysis, consulting, or domain-focused project work
    • Sharp analytical thinker with excellent research and problem-solving skills
    • Able to deliver clear, constructive feedback and detailed annotations that raise team output quality
    • Creative and lateral thinker who can approach complex business problems from multiple angles
    • Excellent communicator - written and verbal - comfortable working cross-functionally and asynchronously
    • No prior AI or machine learning experience required
    Requirements
    • Bachelor's degree in Business, Finance, Accounting, Economics, Statistics, or a related field - candidates without a degree but with equivalent experience are welcome to apply
    • 2+ years of team management experience
    • 3-6 years of experience in business analysis, consulting, content production, or domain-focused projects
    Nice to Have
    • Master's degree or postgraduate qualification in a business or quantitative field
    • Experience with data annotation, data quality assurance, or evaluation systems
    • Background in case study writing, academic content, or research-focused roles
    • Familiarity with AI tools or large language model workflows as an end user
    Why Join Us
    • Work on cutting-edge AI projects alongside world-leading research labs
    • Fully remote and flexible - structure your work around your life
    • Freelance autonomy with the substance of meaningful, high-impact work
    • Gain rare, hands-on exposure to how advanced AI models are trained and evaluated
    • Potential for ongoing work and contract extension as new projects launch