2

No Experience Machine Learning Data Annotation Jobs in Largo, FL

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

No Job Number: R0245461 Location: Tampa,FL,US Share job via: Share Data Engineer, Mid The ... As an experienced engineer, you know that machine learning is critical to understanding and ...

... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Experience withInfrastructure as Codetoolssuch as Terraform,Bicep * Proficiencyincontainerized ...

Perform statistical modeling and machine learning cloud-based ML platforms. * Communicating complex ... Demonstrated experience applying data science methods to real-world data problems. * Proficiency in ...

Perform statistical modeling and machine learning cloud-based ML platforms. * Communicating complex ... Demonstrated experience applying data science methods to real-world data problems. * Proficiency in ...

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and ... As an experienced engineer, you know that machine learning is critical to understanding and ...

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

Job Number: R0245461 Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT ... As an experienced engineer, you know that machine learning is critical to understanding and ...

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and ... As an experienced engineer, you know that machine learning is critical to understanding and ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... experience. • Understanding of AWS Big Data components and tools. • Strong Java skills with ...

AI Engineer

Tampa, FL · On-site

$55K - $187K/yr

... experience required for the role, three years of specialized training and/or progressively ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Showing results 41-60

No Experience Machine Learning Data Annotation information

See Largo, FL salary details

$32.1K

$104.9K

$168K

How much do no experience machine learning data annotation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for no experience machine learning data annotation in Largo, FL is $104,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $116,300.00 per year, depending on experience, location, and employer.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What job categories do people searching No Experience Machine Learning Data Annotation jobs in Largo, FL look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Largo, FL are:
Infographic showing various No Experience Machine Learning Data Annotation job openings in Largo, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $104,922 per year, or $50.4 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Saint Petersburg, FL • Remote

$70 - $90/hr

Part-time

Posted 10 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.