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Remote Mechanical Engineering Machine Learning Jobs in Chelsea, AL

Motorola

Senior DevOps Engineer (US REMOTE)

Birmingham, AL · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... AND 5+ years of software engineering/development experience * AND 2+ year of Kubernetes and Docker ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Varsity Tutors

Robotics Tutor

Birmingham, AL · Remote

$18 - $40/hr

Guides students through building mechanical structures, wiring electronic circuits, programming ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Data Science Tutor

Birmingham, AL · 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

Linear Algebra Tutor

Birmingham, AL · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Statics and Dynamics Tutor

Birmingham, AL · Remote

$18 - $40/hr

... mechanics of materials, machine dynamics, and advanced engineering coursework. * Conceptual ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Python Tutor

Birmingham, AL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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All JobsMechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning Jobs in Chelsea, AL

Remote Mechanical Engineering Machine Learning information

See Chelsea, AL salary details

$41.3K

$93.3K

$151K

How much do remote mechanical engineering machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote mechanical engineering machine learning in Chelsea, AL is $93,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $114,700.00 per year, depending on experience, location, and employer.

What is a remote mechanical engineering machine learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

Remote Mechanical Engineering Machine Learning jobs near you

GIS Data Engineer

EBSCO Information Services

Birmingham, AL • Remote

Full-time

Re-posted 18 days ago

Job description

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.

We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven - hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.

We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team

Job Summary

Moultrie is actively growing its geospatial capabilities across existing Mapbox-based mobile applications, upcoming web experiences, and support for machine learning and data science workflows. This role helps ensure geospatial data is identified, acquired, transformed, documented, and delivered with quality and reliability.

Job Responsibilities

Key Responsibilities

  • Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools.
  • Acquire, clean, transform, and load geospatial datasets to support product, engineering, and analytics use cases.
  • Execute against defined priorities and deadlines while raising risks early and communicating status clearly.
  • Perform quality assurance checks to improve data completeness, consistency, and usability.
  • Document data lineage, transformation methods, assumptions, and known gaps (for example, counties/states with missing data).
  • Contribute to repeatable geospatial processes and help improve internal GIS standards over time.
  • Support occasional off-hours on-call needs for geospatial operations.
  • Participate in interviews and provide hiring feedback when requested.

What Success Looks Like

  • Priority geospatial initiatives are delivered by agreed deadlines with clear documentation.
  • Data products are complete where possible, with clear documentation of missing or unavailable data.
  • GIS workflows are repeatable, documented, and trusted by partner teams.
  • Cross-functional teams can reliably use geospatial outputs in products, analytics, and planning.
Job Requirements

Required Qualifications

  • 3+ years of professional GIS experience.
  • Hands-on experience with QGIS, PostGIS, GDAL, Mapbox, Python, and SQL.
  • Demonstrated ability to build or support cloud hosted geospatial ETL/data preparation workflows.
  • Experience collaborating with cross-functional stakeholders and communicating technical details clearly.
  • Strong attention to detail, time management, curiosity, and ownership mindset.

Preferred Qualifications

  • 5+ years of GIS experience.
  • Experience supporting geospatial needs for product teams and/or machine learning/data science initiatives.
  • Familiarity with cloud computing in Microsoft Azure.
  • Experience with Spatiotemporal Asset Catalogs (STAC) and cloud native geospatial formats.

What We Offer

  • The funding and long-term focus of a privately-held company, combined with the energy of a startup.
  • The opportunity to work with cutting edge geospatial tools in an emerging GIS team.
  • Remote-friendly culture with an optional annual hunting trip.
Essential Job Function

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.

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