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Full Time Machine Learning Data Annotation Jobs in Minneapolis, MN

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

Create machine learning (ML) models and statistical models to discover trends and detect anomalies in laboratory test data Adapt existing work with changing laboratory and digital softwares

RELX

Data Scientist

Minneapolis, MN · On-site

Responsibilities : • Build and deploy machine learning models using R, Python, SAS, and SQL. • ... Big Data technologies • Strong communication skills and ability to work cross-functionally ...

Daikinapplied

Data Engineer III

Minneapolis, MN · On-site

$90K - $153K/yr

Create machine learning (ML) models and statistical models to discover trends and detect anomalies in laboratory test data Adapt existing work with changing laboratory and digital softwares

Pwc

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Minneapolis, MN

Full Time Machine Learning Data Annotation information

See Minneapolis, MN salary details

$39.1K

$128.1K

$205.1K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time machine learning data annotation in Minneapolis, MN is $128,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $142,000.00 per year, depending on experience, location, and employer.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

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 Full Time Machine Learning Data Annotation jobs in Minneapolis, MN?

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

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

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

Full Time Machine Learning Data Annotation jobs near you

Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)

Target Brands, Inc.

Brooklyn Park, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 hours ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,990 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization/RecSys rely on.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, and analyze performance and trade-offs. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities and strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience
  • 3 plus years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX
  • Experience building recommendation, personalization, search, ranking or retrieval systems at scale
  • Strong programming skills in Python and SQL
  • Demonstrated experience with optimization, statistics, probability and experimental design
  • Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results
  • Knowledge of large-scale data processing and analytics platforms such as Spark
  • Extensive experience leveraging generative AI tools to accelerate development, experimentation and model delivery
  • Ability to communicate complex technical concepts and results to both technical and non-technical audiences
  • Demonstrated ability to translate business problems into scalable data science solutions
  • Self-driven, results-oriented and able to meet tight deadlines
  • Motivated team player who thrives in a collaborative - global environment

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/27/2026

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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