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Javascript Developer For Training Ai Data Jobs in Edmond, OK

Document laboratory methodologies, data, and findings clearly and accurately, ensuring ... for non-specialist audiences. * Contribute domain-specific expertise to enhance the training ...

As a Data Protection Consultant, you'll lead the delivery of data protection and data governance ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Retail Banking Senior Manager

Oklahoma City, OK ยท On-site

$132K - $338K/yr

... Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and ... Set vision and strategy for large-scale, multi-workstream transformation programs leveraging AI ...

We are driven by our passion for success and we are proud to deliver best-in-class payment ... Collaborate with data scientists, product managers, and engineers to translate business ...

... for documentation, safety risk analysis, systems security, NAS information and data sciences ... JavaScript, JQuery, HTML/CSS, JSP, Tag libraries * * Frameworks & Libraries: Spring, Hibernate ...

Canoo Data Platform - Data Engineer

Oklahoma City, OK ยท On-site

$98K - $118K/yr

Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly ... Expertise with one or more back-end languages such as Python, Go, TypeScript, JavaScript, etc.

EnerSys is a global leader in stored energy solutions for industrial applications. We have over ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

Showing results 21-40

Javascript Developer For Training Ai Data information

See Edmond, OK salary details

$26.7K

$96.3K

$152.7K

How much do javascript developer for training ai data jobs pay per year?

As of Aug 9, 2026, the average yearly pay for javascript developer for training ai data in Edmond, OK is $96,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $115,600.00 per year, depending on experience, location, and employer.

What is the difference between Javascript Developer For Training Ai Data vs Javascript Developer?

AspectJavascript Developer For Training Ai DataJavascript Developer
Required SkillsJavaScript, AI/ML concepts, data annotation, training modelsJavaScript, front-end/back-end development, frameworks like React or Node.js
Work EnvironmentAI training labs, data annotation teams, machine learning projectsWeb development, application development, client/server environments
Industry UsageAI/ML companies, data training firms, research labsTech companies, startups, software agencies

Javascript Developer For Training Ai Data focuses on preparing data and training AI models using JavaScript, often involving data annotation and machine learning concepts. In contrast, a Javascript Developer primarily develops web applications and interfaces. While both roles require JavaScript skills, the former emphasizes AI training and data handling, whereas the latter centers on application development.

What are some common challenges faced by JavaScript developers working on AI data training projects?

JavaScript Developers involved in AI data training often encounter challenges such as ensuring data quality and consistency, managing large datasets, and effectively collaborating with data scientists and machine learning engineers. The role may require a deep understanding of data preprocessing, annotation tools, and integrating APIs to streamline data workflows. Additionally, working in this space often involves staying up to date with the latest AI frameworks and adapting to rapidly evolving project requirements, which can be both demanding and rewarding.

What is a Javascript developer for training AI data?

A Javascript Developer for Training AI Data is a software engineer who specializes in using Javascript to help build, annotate, or process datasets that are used to train artificial intelligence models. Their work may involve developing data labeling tools, writing scripts to clean and preprocess data, or building user interfaces that facilitate the collection of high-quality training data. They play a crucial role in ensuring that AI systems receive the accurate and well-structured information they need to learn effectively. This position often requires a strong knowledge of Javascript, data handling, and sometimes an understanding of machine learning concepts.

What are the key skills and qualifications needed to thrive as a Javascript developer for training AI data, and why are they important?

To thrive as a Javascript Developer for Training AI Data, you need strong proficiency in JavaScript, data manipulation, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Familiarity with frameworks like Node.js, data annotation tools, and version control systems such as Git is typically required. Analytical thinking, attention to detail, and effective teamwork are essential soft skills for excelling in this role. These skills ensure accurate data preparation and robust integration of AI models, leading to effective training outcomes and project success.

AI Training Specialist - Chemistry

micro1 AI

Oklahoma City, OK โ€ข Remote

$70 - $90/hr

Part-time

Posted 10 days ago


Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. 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. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.