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Startup Machine Learning Remote Jobs in Brandon, FL

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Tampa, FL · On-site +1

$112K - $257K/yr

Experience using and deploying machine learning algorithms, including natural language processing ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Tampa, FL · On-site +1

$99K - $225K/yr

Experience using and deploying machine learning algorithms, including natural language processing ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Process Street

Account Executive (Remote)

Tampa, FL · Remote

Who we are Process Street is an AI software and compliance operations platform startup from San ... learning our sales methodology - all while delivering real value to customers. This role is an ...

Steer

Technical Support Specialist - Remote

Tampa, FL · On-site +1

Direct SaaS or startup experience. * Highly polished professional communication skills. Interview ... Learning Stipend * WFH Equipment * Chance to work with the latest technology * A collaborative ...

Epiq

Senior Director of Product Development

Tampa, FL · Remote

Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows ... LI-Remote The Compensation range for this role is 230,000 to 270,000 USD annually and may be ...

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Startup Machine Learning Remote information

See Brandon, FL salary details

$22.2K

$37K

$76.5K

How much do startup machine learning remote jobs pay per year?

As of Aug 6, 2026, the average yearly pay for startup machine learning remote in Brandon, FL is $37,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,200.00 and $40,000.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.
What are popular job titles related to Startup Machine Learning Remote jobs in Brandon, FL? For Startup Machine Learning Remote jobs in Brandon, FL, the most frequently searched job titles are:
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Startup Machine Learning Remote jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Saint Petersburg, FL • Remote

$70 - $90/hr

Part-time

Posted 9 days ago

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.

Apply