ZipRecruiter

Log In

1

Freelance Mlops Jobs (NOW HIRING)

Associated Builders and Contractors (ABC)

$83 - $138/hr

Familiarity with production‑level data science practices -- MLOps, CI/CD pipelines for models, or ... Freelance autonomy with the structure of meaningful, high‑impact technical work * Make a tangible ...

All Jobsfreelance JobsFreelance Mlops Jobs

Freelance Mlops information

See salary details

$14

$47

$132

How much do freelance mlops jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance mlops in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance MLOps professional?

Freelance MLOps professionals are independent specialists who help organizations streamline and manage the deployment, monitoring, and maintenance of machine learning models. They combine expertise in software engineering, machine learning, and DevOps to automate ML workflows and ensure models run efficiently in production. Freelance MLOps experts often work on a project basis, providing services such as setting up CI/CD pipelines for ML, managing cloud infrastructure, and implementing model monitoring tools. They allow companies to leverage MLOps best practices without hiring full-time employees.

What are some common challenges freelance MLOps professionals face when working with multiple clients?

Freelance MLOps professionals often navigate challenges such as managing diverse infrastructure requirements, adapting to various deployment environments, and ensuring consistent model monitoring across clients. Each client may use different cloud providers or tools, requiring quick learning and flexibility. Additionally, clear communication is key, as freelancers must align on project goals, timelines, and security protocols while often working remotely with distributed teams.

What are the key skills and qualifications needed to thrive as a freelance MLOps engineer, and why are they important?

To thrive as a Freelance MLOps Engineer, you need strong expertise in machine learning, software engineering, and cloud infrastructure, often backed by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, Azure, or GCP, along with certifications like AWS Certified Machine Learning or Google Professional ML Engineer, is highly valuable. Excellent problem-solving, time management, and communication skills help you coordinate with clients and adapt to diverse project requirements. These skills and qualities are crucial for effectively deploying scalable ML solutions and ensuring smooth collaboration in remote, project-based environments.

What is the difference between Freelance Mlops vs Data Engineer?

AspectFreelance MlopsData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure)Computer science or related degree, certifications optional
Work EnvironmentIndependent, project-based, remoteFull-time, in-house or remote
Industry UsageTech companies, startups, consultingTech, finance, healthcare, and more
Common Search IntentFreelance Mlops projects, freelance Mlops jobsData engineering roles, data pipeline development

Freelance Mlops professionals focus on deploying and maintaining machine learning models in production environments on a project basis, often working remotely. Data Engineers build and manage data pipelines and infrastructure, typically in full-time roles within organizations. While both roles require technical skills, Freelance Mlops emphasizes deployment and automation expertise, whereas Data Engineers concentrate on data architecture and processing.

More about Freelance Mlops jobs

What cities are hiring for Freelance Mlops jobs?

Cities with the most Freelance Mlops job openings:

What are the most commonly searched types of Mlops jobs?

The most popular types of Mlops jobs are:

What states have the most Freelance Mlops jobs?

States with the most job openings for Freelance Mlops jobs include:

What job categories do people searching Freelance Mlops jobs look for?

The top searched job categories for Freelance Mlops jobs are:

Freelance Mlops jobs near you
Infographic showing various Freelance Mlops job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Scientist (Masters)

Associated Builders and Contractors (ABC)

On-site

$83 - $138/hr

Other

Posted 6 days ago

Key responsibilities

  • Design complex, domain-specific data science problems to evaluate and challenge AI models.

  • Develop and document ground-truth solutions, including scripts and mathematical derivations, to serve as benchmarks for AI responses.

  • Critically evaluate AI-generated code for correctness, efficiency, and adherence to best practices, and identify failure modes in AI reasoning.

Job description

About The Role

What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and solve problems? We're looking for Data Scientists with advanced degrees to challenge, audit, and improve cutting‑edge AI models — exposing their blind spots and building ground‑truth solutions that make them smarter.

This is a fully remote, flexible contract role. No prior AI industry experience needed — just deep domain knowledge and a rigorous, analytical mind.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design Advanced Challenges: Craft complex, domain‑specific data science problems spanning hyperparameter optimization, Bayesian inference, cross‑validation strategies, dimensionality reduction, and more — problems that push AI models to their limits
  • Author Ground‑Truth Solutions: Develop rigorous, step‑by‑step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses
  • Audit AI‑Generated Code: Critically evaluate AI outputs — including code written with Scikit‑Learn, PyTorch, TensorFlow, and similar libraries — for technical correctness, efficiency, and best practices
  • Refine AI Reasoning: Identify and document failure modes in AI reasoning — data leakage, overfitting, improper handling of imbalanced datasets, flawed statistical conclusions — and provide structured feedback that directly improves model intelligence
  • Work Independently: Complete task‑based assignments asynchronously, fully on your own schedule
Who You Are
  • Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
  • Deeply knowledgeable in core data science domains: supervised and unsupervised learning, deep learning, statistical inference, or big data technologies (Spark, Hadoop)
  • Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
  • Naturally detail‑oriented — you catch errors in code syntax, mathematical notation, and statistical logic that others miss
  • Self‑motivated and consistent when working independently
  • No prior AI or annotation experience required
Nice to Have
  • Experience with data annotation, data quality assurance, or model evaluation workflows
  • Familiarity with production‑level data science practices — MLOps, CI/CD pipelines for models, or experiment tracking
  • Background in NLP, computer vision, or other specialized machine learning domains
  • Prior work in academic research, technical writing, or peer review
Why Join Us
  • Work directly with industry‑leading AI models and cutting‑edge research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high‑impact technical work
  • Make a tangible contribution to how AI understands and applies data science at scale
  • Potential for ongoing contract renewals as new projects launch
#J-18808-Ljbffr

Apply