ZipRecruiter

Log In

1

Freelance Machine Learning Data Annotation Jobs in Lansing, MI

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

In addition, the position will involve designing and optimizing cloud-native data and AI platforms leveraging Amazon Web Services (AWS) to support advanced analytics, machine learning, and real-time ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

Experience in Oracle/Data Bricks/Elastic/ELK. * Proficiency in data processing and analysis using ... Experience with machine learning algorithms and deep learning frameworks such as TensorFlow ...

Auto Owners Insurance Company

Predictive Modeler

Lansing, MI · Hybrid

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements * Work with large, complex data sets and develop a working knowledge ...

Auto-Owners Insurance

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements * Work with large, complex data sets and develop a working knowledge ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Data Annotation JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Lansing, MI

Freelance Machine Learning Data Annotation information

See Lansing, MI salary details

$13

$22

$35

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

As of Sep 8, 2026, the average hourly pay for freelance machine learning data annotation in Lansing, MI is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $25.34 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 job categories do people searching Freelance Machine Learning Data Annotation jobs in Lansing, MI look for?

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

What cities near Lansing, MI are hiring for Freelance Machine Learning Data Annotation jobs?

Cities near Lansing, MI with the most Freelance Machine Learning Data Annotation job openings:

Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in Lansing, MI as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $46,132 per year, or $22.2 per hour.

Data Engineering Internship - Summer 2027

Lansing, MI • On-site

Auto-Owners Insurance
Insurance Services • 5 - 10K employees
Learn more about Auto-Owners Insuranceexternal

Part-time

Posted 14 days ago

Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

23rd of 315 rated insurance

Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
Job Description
Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated Data Engineering intern to join our team this summer. The position analyzes data processes and the needs of users and stakeholders; develops project plans; and designs, implements, and manages data quality, data reporting, and governance solutions. The position requires the person to:
  • Work with project stakeholders to identify business requirements and expected outcomes.
  • Create, evaluate, and summarize data assets in a form acceptable for use within the Company or outside the Company, including use by government bureaus, agencies, and others.
  • Evaluate and complete regulatory data requests in an accurate and timely manner.
  • Understand data sources and the data lineage of various computer systems in the Company.
  • Build, maintain, and document code used to transform, aggregate, and analyze data.
  • Create and enhance data extracts and analyses to support data reporting functions and inquiries.
  • Evaluate the reliability of sources of data, investigate data integrity, identify data problems, and provide technical expertise for ensuring data quality, while promoting understanding within the Division.
  • Assist with training and mentoring of other associates.
  • Contribute to and promote the peer review process, verify work completed by others, and develop other quality control measures

This internship has full-time hours (Monday through Friday) and is in person in Lansing, Michigan. Interns choose their start and end dates. Most join in mid-May and stay until mid-August.
Desired Skills & Experience
  • Student must be working toward a bachelor's in statistics, computer science, data mining, machine learning, mathematics, physics, operations research, or a related quantitative discipline, and have at least two years of coursework completed. Master's students are also considered if graduation is August 2027 or later.
  • Successful completion of actuarial exams or other Company approved courses is preferred. These requirements may be waived or changed, at Company discretion, based on prior education and/or experience.
  • Ability to apply mathematical, statistical, and programming concepts and procedures to analyze and solve complex insurance processes.
  • Demonstrate strong analytical reasoning, problem solving, technical writing, and collaboration and presentation skills.
  • Exhibit high level of initiative, motivation, organization, and leadership.
  • Ability to lead projects and coordinate among diverse stakeholders.
  • Ability to mentor by sharing knowledge and challenging others to grow their skill sets.
  • Ability to work effectively with others at all levels.

Equal Employment Opportunity
Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
#LI-DNI #IN-DNI

What Auto-Owners Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply