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Javascript Developer For Training Ai Data Jobs in Somers, CT

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview ... Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based ...

Integration Engineer II

Hartford, CT · On-site

$104K - $141K/yr

... data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ... Build backend services and APIs using Python (e.g., FastAPI, Django, Flask), Javascript, Azure ...

UI Developer with JavaScript

Hartford, CT · On-site

$50.50 - $65.50/hr

... JavaScript development * At least 5 years of technical design and programming skills. Component ... This is a Full-Time & Permanent job opportunity for you. * Only US Citizen, Green Card Holder, GC ...

... for clients, transforming raw data into actionable insights that drive business growth ... Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ...

... data sources . Implement agent-based and multi-agent workflows for task orchestration and ... training, and licensure and certifications. To support the ability to reward for merit-based ...

AI Engineer

Hartford, CT · On-site +1

$1/hr

T is actively seeking AI Engineer for an immediate contract engagement with our government client ... and regulated data. This is a hands-on technical role focused on developing, deploying, and ...

Showing results 41-60

Javascript Developer For Training Ai Data information

See Somers, CT salary details

$30K

$108.2K

$171.6K

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

As of Aug 11, 2026, the average yearly pay for javascript developer for training ai data in Somers, CT is $108,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $130,000.00 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 Developer

Kanak Elite Services Inc

Conantville, CT • On-site

Contractor

Re-posted 15 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : AI Developer
Location          : Greenwich, CT Hybrid (Need local candidate)
Duration         : 6+ Months
Interview        : ONSITE INTERVIEW IS A MUST

Description

  • The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock, SageMaker, Lambda, and S3) and AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
  • You will collaborate with data engineering and application development teams to build intelligent, scalable, and secure AI solutions integrated into enterprise systems

Key Responsibilities

  • Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based frameworks.
  • Good to have experience on building AI Agents.
  • Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications.
  • Support deployment, monitoring, and lifecycle management of AI models following MLOps best practices.
  • Work closely with cross-functional teams to integrate AI components into applications and workflows.
  • Assist in evaluating and adopting emerging AI tools and frameworks to improve system performance.
  • Maintain code quality, documentation, and adherence to security and scalability standards.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
  • 3–5 years of experience in software or AI development.
  • Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Hands-on experience with AWS cloud services (Bedrock, SageMaker, Lambda, API Gateway).
  • Knowledge of LLMs, embeddings, and vector databases (Pinecone, FAISS, etc.).
  • Understanding of SQL/NoSQL databases and data integration techniques.
  • Strong problem-solving and communication skills.