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React Developer For Training Ai Data Jobs in El Segundo, CA

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

UJET

AI Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing ... for reporting any suspected violations or abuse and are required to complete SDPC training and ...

UJET

AI Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing ... Design the integration approach for each customer: whether that's cloud-to-cloud bucket access ...

Glenair

Senior Front End React Developer/Engineer

Glendale, CA · On-site

$121K - $159K/yr

The app presents unique challenges due to most of our data living in multi-million row database ... Experience using Docker for Build and Deployment tasks. * Full Stack Experience (Database, Backend ...

Glenair

Senior Front End React Developer/Engineer

Glendale, CA · On-site

$121K - $159K/yr

The app presents unique challenges due to most of our data living in multi-million row database ... Experience using Docker for Build and Deployment tasks. * Full Stack Experience (Database, Backend ...

Glenair

Senior Front End React Developer/Engineer

Glendale, CA · On-site

$121K - $159K/yr

The app presents unique challenges due to most of our data living in multi-million row database ... Experience using Docker for Build and Deployment tasks. * Full Stack Experience (Database, Backend ...

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See El Segundo, CA salary details

$51.1K

$119.1K

$176.8K

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

As of Sep 6, 2026, the average yearly pay for react developer for training ai data in El Segundo, CA is $119,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $138,500.00 per year, depending on experience, location, and employer.

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React Developer For Training Ai Data jobs near you
Infographic showing various React Developer For Training Ai Data job openings in El Segundo, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $119,132 per year, or $57.3 per hour.

AI Software Engineer (Vehicle Engineering)

SpaceX

Hawthorne, CA • On-site

Full-time

Re-posted 18 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing technologies to enable human life on Mars. The AI Software Engineer will focus on solving complex AI data problems for launch vehicles and spacecrafts, developing core AI technologies to accelerate engineering and support the rapid reuse of the Falcon launch vehicle.
Responsibilities:
• Design and train highly reliable, scalable AI/ML models that empower engineers across all SpaceX departments
• Design agentic AI systems and multi-agent workflows to perform engineering tasks
• Build and optimize large-scale machine learning training pipelines to create next-generation AI applications that transform day-to-day engineering operations
• Develop and fine-tune foundation models (LLMs, vision models, multimodal systems) for high-impact SpaceX use cases
• Create production-grade AI tools for data analysis, anomaly detection, predictive modeling, and automated decision-making
• Collaborate with peers on AI architecture, model design, training strategies, and code reviews
• Rapidly build and iterate on AI prototypes, rigorously quantifying model performance, accuracy, and technical constraints
• Own the complete AI model lifecycle — from data preparation and training infrastructure to deployment, monitoring, and continuous improvement
• Deep-dive into complex engineering problems to identify and implement efficient, custom-trained AI solutions
• Establish rigorous AI standards for model validation, safety, reliability, bias mitigation, and data security
• Ensure all AI systems undergo thorough testing and validation to deliver accurate, trustworthy, and production-ready outputs
Qualifications:
Required:
• Bachelor’s degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building and training AI/ML systems in lieu of a degree
• 1+ years of experience in AI software engineering with a focus on model training, fine-tuning, and machine learning systems
• 1+ years of programming experience in Python
Preferred:
• Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning.
• Demonstrated experience training and fine-tuning large language models (LLMs) and other foundation models at scale
• Proven track record training and optimizing machine learning models for computer vision (object detection, segmentation, 3D reconstruction, etc.)
• Deep expertise with modern ML frameworks: PyTorch, TensorFlow, JAX, or equivalent
• Experience designing and running large-scale ML training pipelines, including distributed training on GPU clusters, hyperparameter optimization, and experiment tracking
• Strong understanding of MLOps best practices: model versioning, experiment management (MLflow, Weights & Biases, etc.), CI/CD for ML, and automated retraining
• Strong foundation in statistics, machine learning theory, deep learning architectures, optimization algorithms, and model evaluation
• Proficiency developing on Linux systems
• Solid understanding of version control (Git), testing, continuous integration, deployment, and monitoring for ML systems
• Experience building complex agentic AI systems and multi-agent workflows
• Experience with data infrastructure for training: relational databases (PostgreSQL), non-relational databases, data lakes, and feature stores (vector databases are a plus)
• Experience deploying containerized applications using Docker and Kubernetes
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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