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Remote Machine Learning Postdoc Jobs in Tampa, FL

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... This is a fully remote position, however, candidates must either be based out of Europe (our ...

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... This is a fully remote position, however, candidates must either be based out of Europe (our ...

Requirements * 5+ years in robotics, reinforcement learning, simulation, or applied machine ... Remote or hybrid, US-based, with periodic time onsite at our robotics facility. * Occasional ...

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 ...

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 ...

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 ...

Senior Incident Management Practice Engineer

Tampa, FL · On-site +1

$108K - $148K/yr

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Showing results 21-40

Remote Machine Learning Postdoc information

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

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are popular job titles related to Remote Machine Learning Postdoc jobs in Tampa, FL? For Remote Machine Learning Postdoc jobs in Tampa, FL, the most frequently searched job titles are:
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What cities near Tampa, FL are hiring for Remote Machine Learning Postdoc jobs? Cities near Tampa, FL with the most Remote Machine Learning Postdoc job openings:

AI Trainer - Microbiology Expert

micro1 AI

Saint Petersburg, FL • Remote

$70 - $90/hr

Part-time

Posted 12 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.