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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

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 ...

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 ...

Trilyon, Inc.

Programmer Analyst 3 (Hybrid)

Lansing, MI · On-site

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... data storage, data retrieval, data validation, data manipulation, printing, and other processes.

Trilyon, Inc.

Business Analyst - Hybrid

Lansing, MI · On-site

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... processes, data, and systems. This information is used to guide the gathering of business ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Using statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements * Working with large, complex data sets and developing a working ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Using statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements * Working with large, complex data sets and developing a working ...

Actalent

Process Engineer

Webberville, MI

$43.27 - $52.88/hr

Troubleshoot manufacturing issues and analyze production data to determine root causes of defects ... Support CNC machining operations by reading and interpreting blueprints, manuals, and GD&T. * Make ...

Flex-N-Gate

Assembly Program Manager

Ionia, MI · On-site

Detail Oriented * Development & Continual Learning * Ethics & Integrity * Energy and Stress ... Ability to analyze data and create technical documents * Ability to use common hand tools and power ...

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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 Aug 14, 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 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.

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 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 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 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.

Programmer Analyst 6

Staffactory

Lansing, MI • On-site

$58 - $63/hr

Full-time

Re-posted 19 days ago

Job description

Position: Programmer Analyst 6
Location: Lansing, MI 48933
Minimum Education Level: Bachelor's Degree
 
 
 
We are looking for a Programmer Analyst 6.
 
Top Skills & Years of Experience: 
·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.
·         3+ years of experience in report development and data analysis within large-scale environments.
·         3+ years of experience in AI Data engineering with AWS platforms.
·         3+ years of experience in python, PySpark and Advanced Data Structures.
·         3+ years of experience in Teradata Data Warehouse and ETL utilities.
·         Experience in AWS cloud and AI platform.
·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.
·         Strong experience with dashboard development and data visualization best practices.
·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.
·         Excellent analytical, problem-solving, and communication skills.
 
Will close submissions on: 3/3 at 10am EST
Interview Process: MS Teams Video Interviews
Duration: 1 year with possible extension
Hybrid: Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week (Wed/Thur ONSITE). 
Open to local and non local. Non-local candidates must be willing to relocate starting Day 1. Please ensure you confirm prior to submitting. 
 

Job Summary

We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division. This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI, SAP BusinessObjects, Crystal Reports, and BI Query. 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 data processing initiatives. The ideal candidate will have strong analytical skills, proficiency in reporting tools, and the ability to translate business requirements into effective data visualizations and scalable data solutions.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and actionable insights for business stakeholders.
  • Design, develop, and maintain interactive dashboards and reports using Power BI, SAP BusinessObjects, and Crystal Reports.
  • Develop and optimize SQL queries and scripts for data extraction and transformation.
  • Create and optimize queries in Hummingbird BI Query to support business intelligence and data analysis requirements.
  • Architect and implement end-to-end data pipelines using AWS services such as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker.
  • Design, build, and optimize scalable cloud-native data and AI platforms leveraging AWS to support advanced analytics and machine learning initiatives.
  • Develop robust ETL/ELT workflows, ensuring data quality, governance, security, and compliance across distributed systems.
  • Collaborate with business units to gather requirements and translate them into technical specifications for reporting and data solutions.
  • Partner with cross-functional teams, including data architects, business analysts, and application developers, to ensure alignment of reporting and data solutions with organizational goals.
  • Ensure data accuracy, integrity, and compliance with MDHHS standards and policies.
  • Provide technical expertise in reporting tools and assist in troubleshooting and performance tuning of dashboards and reports.
  • Document processes, data flows, and reporting standards for ongoing maintenance and knowledge sharing.

Required Qualifications

·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.

·         3+ years of experience in report development and data analysis within large-scale environments.

·         3+ years of experience in AI Data engineering with AWS platforms.

·         3+ years of experience in python, PySpark and Advanced Data Structures.

·         3+ years of experience in Teradata Data Warehouse and ETL utilities.

·         Experience in AWS cloud and AI platform.

·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.

·         Strong experience with dashboard development and data visualization best practices.

·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.

·         Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience with Medicaid or healthcare-related reporting.
  • Familiarity with performance optimization techniques for BI tools.
  • Experience in cloud data platforms (AWS, Azure, GCP) and integration with Teradata.
  • Ability to design and implement modern data architectures supporting advanced analytics and machine learning.
  • Familiarity with BI/reporting tools.
  • Exposure to Agile / DevOps methodologies.
  • Knowledge of data governance and compliance standards.
  • Bachelor's degree in computer science, software engineering or relevant field required.

Soft Skills

  • Strong interpersonal skills with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders.
  • Excellent time management and organizational skills to handle multiple priorities and meet deadlines.
  • Adaptability and flexibility to work in a dynamic environment with evolving business needs.
  • Critical thinking and attention to detail to ensure accuracy and quality in reporting and analysis.
  • Proactive problem-solving approach and willingness to take initiative in improving processes and solutions.
  • Ability to foster a positive team environment and contribute to shared goals.