2

Machine Learning Contract Remote Jobs in Orange, CA

AI/ML Engineer - Remote

Los Angeles, CA Β· Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

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 ...

AI Data Science Evaluator

Long Beach, CA Β· Remote

$245 - $280/hr

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and ... You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and ...

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and ... You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and ...

Psych NP _CA_Remote_Contract

Los Angeles, CA Β· On-site +1

$154K - $260K/yr

Psych NP _CA_Remote_Contract Application Deadline: 30 April 2027 Department: Clinical Care ... You are curious and constantly learning * You are licensed and certified in California. * You have ...

Sr. Engineer II - Software Design

Irvine, CA Β· Remote

$130K - $172K/yr

... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ... Develop and implement machine learning algorithms to enhance AI capabilities. * Research and ...

Showing results 41-60

Machine Learning Contract Remote information

See Orange, CA salary details

$27.2K

$45.5K

$94K

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

As of Sep 14, 2026, the average yearly pay for machine learning contract remote in Orange, CA is $45,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $49,100.00 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 popular job titles related to Machine Learning Contract Remote jobs in Orange, CA?

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

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

The top searched job categories for Machine Learning Contract Remote jobs in Orange, CA are:

What cities near Orange, CA are hiring for Machine Learning Contract Remote jobs?

Cities near Orange, CA with the most Machine Learning Contract Remote job openings:

AI Data Science Expert - Remote

Los Angeles, CA β€’ Remote

$100 - $200/hr

Part-time

Re-posted 4 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.