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Machine Learning Contract Remote Jobs in Pasadena, CA

... machine learning techniques in collaboration with data science and ML engineering teams. * 10% - ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning ...

Showing results 41-60

Machine Learning Contract Remote information

See Pasadena, CA salary details

$27.8K

$46.5K

$96K

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

As of Aug 8, 2026, the average yearly pay for machine learning contract remote in Pasadena, CA is $46,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 per year, depending on experience, location, and employer.

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 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 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 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 Pasadena, CA? For Machine Learning Contract Remote jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in Pasadena, CA look for? The top searched job categories for Machine Learning Contract Remote jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Machine Learning Contract Remote jobs? Cities near Pasadena, CA with the most Machine Learning Contract Remote job openings:
Infographic showing various Machine Learning Contract Remote job openings in Pasadena, CA as of June 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $46,450 per year, or $22.3 per hour.

$125K/yr

Full-time

Re-posted 21 days ago


Job description

Title: AI Specialist
Employment Type: Full Time
Job Location: Remote but must reside in the US and work on PST time zone
Compensation: $125,000

Responsibilities
  • Identify and prototype opportunities to use AI tools to improve creative, technical, and operational workflows.
  • Collaborate with cross-disciplinary teams to implement practical AI solutions for real-time experiences, production tools, and support systems.
  • Integrate third-party AI services into internal pipelines—including OpenAI, Runway, ElevenLabs, and related platforms.
  • Train AI models using techniques like LoRA
  • Curate, format, and maintain document knowledge bases used for RAG (Retrieval-Augmented Generation) pipelines. Define document standards and strategies for document preparation.
  • Develop and maintain prompt libraries, automation scripts, and intelligent interfaces to support team productivity and creativity.
  • Evaluate and document new AI tools and emerging capabilities for potential integration.
  • Support ethical and responsible use of AI technologies, balancing innovation with practical and reputational risks.
  • Train internal stakeholders on using AI tools effectively, including prompt design, version management, and use-case scoping.
  • Translate abstract or experimental AI functionality into actionable applications grounded in team needs and production timelines.
  • Develop lightweight tools and workflows using scripting languages
Qualifications

  • 1–2 years of active hands-on work with modern generative AI tools
  • 3+ years of experience using automation, scripting, or machine learning tools to support creative, technical, or operational workflows.
  • Demonstrated ability to evaluate, adopt, and extend commercial and open source AI tools into real-world environments.

Certified Employment Group logo

About Certified Employment Group

Sourced by ZipRecruiter

Certified Employment Group started in San Francisco in 1963. Our cornerstone mission was, and remains, to provide ethical, caring service to each of our clients and employees. These values mean using technology to create efficiencies for our clients, expand our service offerings and enhance the level of service we can provide. As Northern California businesses have prospered, Certified has responded by opening branches to serve high-growth areas. We have expanded our services to include on-site management for major accounts, developing a web based interface and opening specialized divisions in Legal, Renewable Energy and Accounting. Certified remains independently owned, responsive, flexible and wholly committed to our original values. We believe this is the reason for our success. Industry rankings continually place Certified in the top ten percent based on sales!

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Emeryville, CA, US

Year founded

1963