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Javascript Developer For Training Ai Data Jobs in Fairfield, CA

Mercator

AI & Data Engineer

San Francisco, CA · On-site

$160K - $250K/yr

Role Description As Mercator's first AI/Data Systems engineer, you'll build the core pipelines that ... it for retrieval and grounding. You'll design LLM-driven reasoning workflows, build RAG pipelines ...

SupportFinity™

AI Data Engineer

San Francisco, CA · On-site

$150K - $280K/yr

Fluency is looking for an AI Data Engineer to design and build the data systems that feed our process conformance, productivity measurement, and AI impact analysis across Fortune 500 organizations.

Gamma

AI Data Scientist

San Francisco, CA · On-site

About the role You'll be Gamma's first Data Scientist, turning massive volumes of user data and AI ... Partner with engineering and product to define quality metrics for AI-generated content and user ...

Nexxa.ai

Staff DevOps Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

Nexxa is building the best AI systems for heavy industries - enabling machines, systems, and ... Experience supporting ML/AI infrastructure - training clusters, model serving, data pipelines - a ...

Nexxa.AI

Staff DevOps Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

Nexxa is building the best AI systems for heavy industries -- enabling machines, systems, and ... Experience supporting ML/AI infrastructure -- training clusters, model serving, data pipelines -- a ...

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Javascript Developer For Training Ai Data information

See Fairfield, CA salary details

$30K

$108.5K

$172K

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

As of Sep 12, 2026, the average yearly pay for javascript developer for training ai data in Fairfield, CA is $108,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $130,300.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Javascript Developer For Training Ai Data jobs in Fairfield, CA?

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Javascript Developer For Training Ai Data jobs near you

Drone Pilot for AI Training and Data Collection

San Francisco, CA

TSMG
See more jobs at TSMGexternal

Full-time

Re-posted 3 days ago

Key responsibilities

  • Operate drones equipped with various sensors to collect datasets for AI training and validation.

  • Execute drone missions in different environments and conditions to gather diverse data for autonomous systems.

  • Perform post-flight data quality checks and initial preprocessing to prepare datasets for AI model development.

Job description

We are seeking an experienced and highly skilled Drone Pilot to assist in the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high-quality data in real-world environments, contributing to the optimization of AI algorithms that power autonomous systems.

As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems.
Key Responsibilities:
  • Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion.
  • Capture data in various real-world conditions (e.g., urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios.
  • Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking.
  • Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training.
  • Perform post-flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models.
  • Operate drones in both manual and autonomous modes, supporting AI-driven flight operations where drones rely on onboard algorithms for navigation and decision-making.
  • Adhere to Federal Aviation Administration (FAA) and local aviation regulations governing drone operations, ensuring the safe and compliant conduct of all drone missions.
  • Oversee the maintenance, calibration, and troubleshooting of drones and onboard sensors to ensure the highest standards of performance and reliability.
Qualifications:
  • Commercial drone pilot certification (FAA Part 107 or equivalent), with additional certifications in safety or advanced drone technologies considered a plus.
  • Proven track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI-focused applications.
  • Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors.
  • Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real-time data processing.
  • Strong understanding of how drone-collected data is used for AI training, including its role in training AI for perception, navigation, and decision-making.
  • Experience in using software for flight planning, such as Pix4D, DroneDeploy, or similar platforms, and geospatial data analysis tools.
  • Familiarity with machine learning concepts, especially those related to computer vision (e.g., image segmentation, object detection, and tracking) and autonomous navigation systems.
  • Basic understanding of geospatial data processing, photogrammetry, and 3D reconstruction techniques for AI applications.
  • Strong attention to detail with a commitment to ensuring the highest quality of data collection and analysis.
  • Excellent communication and collaboration skills, with the ability to work in multidisciplinary teams.
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.