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Temporary Software Developer Ai Trainer Jobs in Fulton, NY

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology ...

Control Systems Developer

Pulaski, NY · On-site

$75K - $90K/yr

... software. 2) Formal Training Program or Associate's degree in Industrial Automation, Computer ... Engineering or related field, or equivalent industry experience. 3) Preferred: 3+ years of ...

Engineer I - CTQ

Skaneateles, NY · On-site

$73K - $94K/yr

... temporary and permanent talent. Visit us at -a-job/ to learn more and view our open positions ... Identify, document, and track software defects and inconsistencies. Collaborate with the ...

Personal Trainer

Sterling, NY · On-site

$25 - $45/hr

Utilize the Svetness Fitness App for all client sessions, including programming & session notes ... Maintain client session appointments through Svetness scheduling software * Able to provide a ...

Personal Trainer

Brewerton, NY · On-site

$25 - $45/hr

Utilize the Svetness Fitness App for all client sessions, including programming & session notes ... Maintain client session appointments through Svetness scheduling software * Able to provide a ...

Personal Trainer

Phoenix, NY · On-site

$25 - $45/hr

Utilize the Svetness Fitness App for all client sessions, including programming & session notes ... Maintain client session appointments through Svetness scheduling software * Able to provide a ...

Showing results 41-60

Temporary Software Developer Ai Trainer information

See Fulton, NY salary details

$11

$27

$56

How much do temporary software developer ai trainer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for temporary software developer ai trainer in Fulton, NY is $27.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $31.30 per hour, depending on experience, location, and employer.

What is the difference between Temporary Software Developer Ai Trainer vs Temporary Data Scientist?

AspectTemporary Software Developer Ai TrainerTemporary Data Scientist
Required CredentialsBachelor's in CS or related field, experience with AI/MLBachelor's or higher in CS, statistics, or related field, experience with data analysis
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, analytics departments
Employer & Industry UsageUsed in AI development projects, machine learning teamsUsed in data analysis, predictive modeling, research projects

Temporary Software Developer Ai Trainers focus on developing and training AI models, often working closely with machine learning teams. Temporary Data Scientists analyze data to extract insights and build predictive models. While both roles require technical skills and familiarity with data and algorithms, the Software Developer Ai Trainer emphasizes AI model training, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Temporary Software Developer Ai Trainer jobs in Fulton, NY?

For Temporary Software Developer Ai Trainer jobs in Fulton, NY, the most frequently searched job titles are:

What cities near Fulton, NY are hiring for Temporary Software Developer Ai Trainer jobs?

Cities near Fulton, NY with the most Temporary Software Developer Ai Trainer job openings:

Infographic showing various Temporary Software Developer Ai Trainer job openings in Fulton, NY as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $57,137 per year, or $27.5 per hour.

Bioinformatics Software Engineer

micro1 AI

Syracuse, NY • Remote

$80 - $110/hr

Part-time

Posted 14 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 customer’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 — 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, Schrödinger, 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.