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Hourly Remote Ai Training Jobs in Boca Raton, FL

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

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Hourly Remote Ai Training information

See Boca Raton, FL salary details

$14

$40

$73

How much do hourly remote ai training jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for hourly remote ai training in Boca Raton, FL is $40.06, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $51.11 per hour, depending on experience, location, and employer.

What is an hourly remote AI training?

An Hourly Remote AI Training job involves helping to improve artificial intelligence systems by providing feedback, labeling data, or completing tasks that teach AI models how to understand and process information. These positions are typically remote, meaning you can work from home, and are paid based on the number of hours you work. Tasks might include categorizing images, transcribing audio, or answering questions to help train machine learning algorithms. This role is suitable for individuals who are detail-oriented and comfortable working independently online.

What is the difference between Hourly Remote Ai Training vs Data Labeler?

AspectHourly Remote Ai TrainingData Labeler
CredentialsBasic technical skills, training experienceNone typically required
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI development, machine learning projectsData preparation for AI models
Job FocusTraining AI models through data inputLabeling and annotating data

Hourly Remote Ai Training involves training AI models by providing data and feedback, often requiring some technical understanding. Data Labelers focus on annotating data to improve AI accuracy. Both roles are remote and essential in AI development, but they differ in technical requirements and job focus.

What are the typical challenges faced when working as an hourly remote AI training contributor, and how can they be managed?

One common challenge in Hourly Remote AI Training roles is maintaining focus and accuracy during repetitive data labeling or annotation tasks, which are crucial for high-quality AI model development. Managing time effectively, taking regular breaks, and using productivity tools can help sustain attention and reduce errors. Additionally, remote contributors may experience limited feedback or interaction with colleagues, so proactively seeking clarification and participating in team communication channels is important for staying aligned with project goals and expectations.

What are the key skills and qualifications needed to thrive as an hourly remote AI training specialist?

To thrive as an Hourly Remote AI Training Specialist, you typically need strong analytical skills, attention to detail, and a basic understanding of AI concepts, often supported by a high school diploma or higher. Familiarity with digital annotation tools, data labeling platforms, and cloud-based collaboration systems is commonly required. Excellent time management, communication, and self-motivation are standout soft skills for this remote role. These competencies ensure the accuracy and efficiency of data preparation, which is critical for effective AI model development.
What are the most commonly searched types of Remote Ai Training jobs in Boca Raton, FL? The most popular types of Remote Ai Training jobs in Boca Raton, FL are:
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Infographic showing various Hourly Remote Ai Training job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $83,319 per year, or $40.1 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Miami Gardens, FL โ€ข Remote

$80 - $110/hr

Part-time

Posted 9 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customerโ€™s computational drug discovery 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrรถdinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.