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Remote Machine Learning Engineer New Grad Jobs in Mobile, AL

micro1 AI

AI Trainer - Microbiology Expert

Mobile, AL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Johnson Controls

High Level Engineer - Controls

Mobile, AL · On-site +1

$82K - $107K/yr

This position is REMOTE and can be located anywhere within the US. How you will do it Under general ... Project types include new construction plan-spec, existing facility retrofits and design-build ...

ABB

Protection and Control Engineer

AL · Remote

While this is a full remote position, there is preference for candidates located in the Northern California area. Main Accountabilities: * Lead and support engineering design activities for new and ...

Amat

Install Productivity Engineer - IMP

Mobile, AL · Remote

$108K - $148K/yr

We empower our team to push the boundaries of what is possible-while learning every day in a ... Review and drive new procedures and Best-Known Methods (BKMs) to Install products * Ensure ...

Cayenta

(Remote) Support Analyst

Mobile, AL · Remote

Monitor the support queue, take ownership of new tickets, and reassign as needed * Collaborate with ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

ABB

Strategic Segment Proposal Engineer

AL · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... through new installations or retrofit solutions. The Division offers integrated digital ...

Winaxis

IIB Developer

Mobile, AL · Remote

Contract IIB Developer 100% remote, Eastern time zone Candidate 6 months need pure commercial ... and new message flows and other duties as assigned. Please see the job requirement for exact ...

Harris

(Remote) Support Analyst

Mobile, AL · Remote

Is comfortable learning new technologies and adapting to new ways of working. * Can analyze ... University degree or technical college diploma in Computer Science, Software Engineering ...

Cayenta

(Remote) Support Analyst

Mobile, AL · Remote

Is comfortable learning new technologies and adapting to new ways of working. * Can analyze ... University degree or technical college diploma in Computer Science, Software Engineering ...

Harris

(Remote) Support Analyst

Mobile, AL · Remote

Is comfortable learning new technologies and adapting to new ways of working. * Can analyze ... University degree or technical college diploma in Computer Science, Software Engineering ...

Liveops

Remote Customer Service Representative

Mobile, AL · Remote

$20/hr

Agents new to the program may be eligible for a $200 incentive for meeting client metrics through ... Client-required certification is approximately 3 weeks with self-paced eLearning and live classroom ...

ABB

Global Product Manager - Transformers

AL · Remote

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

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Remote Machine Learning Engineer New Grad information

See Mobile, AL salary details

$10.9K

$72K

$124.5K

How much do remote machine learning engineer new grad jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote machine learning engineer new grad in Mobile, AL is $72,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $82,400.00 per year, depending on experience, location, and employer.

What does a remote machine learning engineer new grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer new grad?

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.
Remote Machine Learning Engineer New Grad jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Mobile, AL • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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