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Javascript Developer For Training Ai Data Jobs in Newark, NJ

Snowflake AI Data Engineer

Manhattan, NY

$126K - $151K/yr

The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native ... The base compensation range for this role in the posted location is: 72,000 to 101,050 Capgemini ...

Snowflake AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native ... The base compensation range for this role in the posted location is: 72,000 to 101,050 Capgemini ...

What you will be doing You will lead a team of AI & machine learning engineers and managers ... Leading the design and operation of fine-tuning and model adaptation pipelines - training data ...

Experience with AI/Generative AI (LLMs, RAG, prompt engineering/evaluation). * Advanced Python skills for data science (pandas, scikit-learn); experience with PySpark. * Hands-on experience with ...

What you will be doing You will lead a team of AI & machine learning engineers and managers ... Leading the design and operation of fine-tuning and model adaptation pipelines - training data ...

AWS + AI-Native Developer Location: Whippany, NJ (Hybrid) Duration: Long-Term An AWS + AI-Native ... Focus mainly on model training, AI-native developers specialize in using AI to write code ...

Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks ... Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

Generative AI Data Engineer III

New York, NY

$125K - $150K/yr

... for business and client use cases * Develop and maintain data pipelines, model training workflows ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

AI & Data Systems Engineer

New York, NY · On-site

$125K - $160K/yr

CAIS is the pioneer in democratizing access to and education about alternative investments for ... The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical ...

Showing results 21-40

Javascript Developer For Training Ai Data information

See Newark, NJ salary details

$30.8K

$111.5K

$176.7K

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 Newark, NJ is $111,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $133,900.00 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.
What are popular job titles related to Javascript Developer For Training Ai Data jobs in Newark, NJ? For Javascript Developer For Training Ai Data jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Javascript Developer For Training Ai Data jobs in Newark, NJ look for? The top searched job categories for Javascript Developer For Training Ai Data jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Javascript Developer For Training Ai Data jobs? Cities near Newark, NJ with the most Javascript Developer For Training Ai Data job openings:

Snowflake AI Data Engineer

United Airlines

Manhattan, NY

$126K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 341 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description:
Role Overview
  • The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native AI, GenAI, and advanced data engineering on AWS Cloud.
  • This role requires deep expertise in Snowflake, Cortex AI, Snowpark (Python), and Talend ETL, with ownership of delivering AI/ML and LLM-powered solutions directly within the Snowflake ecosystem, while coordinating with offshore teams.
Key Responsibilities
  • Design and implement Cortex-driven AI solutions using LLM capabilities (COMPLETE, CHAT, SUMMARIZE), embeddings (EMBED_TEXT), vector search, and RAG architectures.
  • Enable AI copilots, semantic search, and intelligent analytics on enterprise data.
  • Own Snowflake platform architecture, including:
    • Schemas
    • Views
    • Streams
    • Tasks
    • Snowpipes
  • Enforce performance optimization best practices:
    • Warehouse sizing
    • Clustering
    • Query tuning
  • Implement secure data access using:
    • RBAC
    • Masking
    • Row-level controls
    • Column-level controls
  • Lead data engineering and integration pipelines (batch and near real-time) using Talend, Qlik Replicate, and Snowpipe.
  • Ensure data quality, reconciliation, and schema evolution.
  • Enable ingestion from diverse source systems.
  • Guide SQL, Python, and ELT transformations.
  • Enable AI/ML workflows using Snowpark and integration with platforms such as:
    • Databricks
    • SageMaker
    • Azure ML
  • Deliver AI-driven use cases such as:
    • Claims triage
    • Fraud detection
    • Risk scoring
    • Premium leakage
    • Pricing analytics
  • Leverage Snowflake-native AI capabilities and Python-based data science frameworks.
  • Support CI/CD-driven deployments and automation.
Skills & Qualifications
  • Strong experience in Snowflake, Cortex AI, Snowpark (Python), Talend ETL, and AWS Cloud.
  • Hands-on expertise in LLMs, embeddings, vector search, and RAG architectures within Snowflake.
  • Proven leadership in Snowflake architecture, performance optimization, and scalable data platforms.
  • Deep experience in data engineering, ELT pipelines, and real-time/batch data integration.
  • Experience enabling AI/ML workloads and feature engineering within Snowflake environments.
  • Strong knowledge of data security frameworks (RBAC, masking, row/column-level controls).
  • Domain experience in insurance or financial services.
  • Advanced proficiency in SQL and Python, with the ability to lead engineering teams.

The base compensation range for this role in the posted location is: 72,000 to 101,050

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


What United Airlines employees say

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Benefits

Hours and flexibility

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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