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Freelance Machine Learning Data Annotation Jobs in Minneapolis, MN

Bespoke Labs

Machine Learning Engineer

Plymouth, MN · On-site

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Varsity Tutors

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

Data Scientist / Machine Learning Engineer Position Overview As a Data Scientist / Machine Learning Engineer on our AI Builder program, you will design, develop, and operationalize advanced analytics ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

Hybrid onsite Tuesday Wednesday and Thursday Data Scientist / Machine Learning Engineer Position Overview As a Data Scientist / Machine Learning Engineer on our AI Builder program, you will design ...

U.S. Bank

Data Scientist

Minneapolis, MN · On-site

$105 - $124/hr

What You'll Do Develop Machine Learning & Predictive Analytics Solutions Design, develop, implement ... Perform data exploration, analysis, and querying to identify meaningful trends, patterns ...

New

US Bank

Data Scientist

Minneapolis, MN · On-site

What You'll DoDevelop Machine Learning & Predictive Analytics Solutions * Design, develop ... Transform Data into Actionable Insights * Gather, integrate, and analyze large volumes of ...

New

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

Evaluate and recommend appropriate machine learning algorithms and modeling techniques * Monitor ... Partner closely with Data Engineers to support data pipelines, feature engineering, and model ...

PamTen Inc

Data Scientist

Wayzata, MN · On-site

... machine learning, advanced analytics, statistical modeling, or a related technical discipline. · Experience developing machine learning or statistical solutions for complex, real-world business ...

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All JobsMachine Learning Data Annotation JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Minneapolis, MN

Freelance Machine Learning Data Annotation information

See Minneapolis, MN salary details

$13

$22

$36

How much do freelance machine learning data annotation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance machine learning data annotation in Minneapolis, MN is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $26.11 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Minneapolis, MN?

The most popular types of Machine Learning Data Annotation jobs in Minneapolis, MN are:

What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Minneapolis, MN?

For Freelance Machine Learning Data Annotation jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Data Annotation jobs in Minneapolis, MN look for?

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Minneapolis, MN are:

Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in Minneapolis, MN as of July 2026, with employment types broken down into 19% Full Time, 9% Part Time, 66% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $47,475 per year, or $22.8 per hour.

Machine Learning Engineer

Bespoke Labs

Plymouth, MN • On-site

Full-time

Re-posted 20 days ago

Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems

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