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Contract Ai Data Annotation Jobs in Rialto, CA (NOW HIRING)

Hera Technologies is a premier contract manufacturer specializing in high-precision metallic and ... Frequent use of hands and fingers for data entry, keyboarding, and mouse use * Ability to view ...

Senior Legal Counsel - Compliance

Diamond Bar, CA · On-site

$145K - $198K/yr

Lead compliance efforts in privacy and data protection laws (CCPA, GDPR, etc.), including drafting and reviewing policies, procedures, and contracts. * Monitor, assess, and advise on AI-related ...

Cybersecurity Architect

Orange, CA · Remote

$85 - $90/hr

This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

Aircraft Mechanic

Chino, CA · On-site

$39.12 - $45/hr

You will research technical data, disassemble and inspect parts, repair and reassemble components ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

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Contract Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

How much do you get paid for contract AI data annotation?

Contract AI data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the platform. Rates can vary based on experience, the type of data annotated, and the employer's budget, with some projects offering fixed payments per task or dataset.
What job categories do people searching Contract Ai Data Annotation jobs in Rialto, CA look for? The top searched job categories for Contract Ai Data Annotation jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Contract Ai Data Annotation jobs? Cities near Rialto, CA with the most Contract Ai Data Annotation job openings:
Infographic showing various Contract Ai Data Annotation job openings in Rialto, CA as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 44% In-person, and 56% Remote job distribution.

Specialist Manufacturing Engineer

L3 Harris

Anaheim, CA • On-site

$156K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago


L3Harris rating

8.1

Company rating: 8.1 out of 10

L3Harris

Based on 228 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,237 frontline employees who took The Breakroom Quiz


Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
Job Title: Specialist - Manufacturing Engineering
Job Code: 40892
Job Location: Anaheim, CA
Schedule: 9/80 Reg
Job Description:
The position of Specialist - Manufacturing Engineering, reporting to the Manager, Manufacturing Engineering, under limited supervision, is an experienced professional with proficient knowledge of electromechanical manufacturing, lean manufacturing engineering principles, project management, and technical engineering capabilities to support the Operations team(s) to manufacture and assemble existing and future products.
Essential Functions:
  • Lead the development and implementation of manufacturing processes to maintain proper product functionality as well as cost efficiency.
  • Develop and maintain detailed documentation of manufacturing processes, procedures, and work instructions.
  • Utilize statistical process controls to analyze trends and implement corrective actions to manufacturing processes and/or engineering designs.
  • Collaborate closely with design engineering, quality, and production teams to make recommendations for manufacturability to ensure products are manufactured to the highest standards.
  • Lead continuous improvement initiatives to enhance safety, production efficiency, reduce waste, and improve product quality.
  • Continuously analyze existing manufacturing processes to identify areas for improvement across scalability, efficiency, and cost-effectiveness.
  • Collaborate with cross-functional teams including Procurement, Production, Contracts, Planning, Program Management, and Engineering to ensure the Operational plan aligns with all aspects of the business.
  • Provide technical support and guidance to the production team, troubleshooting manufacturing issues and implementing effective solutions.
  • Train production staff on manufacturing best practices and process improvements.
  • Conduct cost-benefit analysis and prepare cost estimates for improvements relating to risks and opportunities.
  • Performs other duties as assigned by Management.
  • Travel on occasion to the Anaheim location and suppliers - 25%
  • Training will be held at the Anaheim location

Qualifications:
  • Bachelor's Degree with minimum 4 years of prior related experience in manufacturing engineering, industrial engineering, Graduate Degree and minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
  • Strong understanding and experience of the processes and procedures required to manufacture and assemble cables/harnesses, magnetics, electro/mechanical sub-assemblies, and systems.
  • Familiarity and relevant experience operating in MRP and ERP systems
  • Familiarity with product lifecycle management applications, such as Agile, and their integration with MRP systems
  • Several years of experience in a manufacturing engineering environment with a proven track record of process improvement and project management.
  • Experience with change management processes and the ability to adapt and manage system changes effectively.
  • Knowledge of Lean Manufacturing Principles, Six Sigma, 8D Problem Solving, Root Cause Analysis, 5 Whys, and other continuous improvement methodologies.
  • Proficiency in CAD software and other engineering tools.

Preferred Additional Skills:
  • Ability to identify where AI or advanced analytics can reduce manual effort, improve data visibility, increase yield, or enhance process stability within manufacturing workflows.
  • Familiarity with using AI-assisted or data-driven tools to automate repetitive engineering tasks such as data collection, routing updates, document creation, reporting, and production readiness checks.
  • Working knowledge of databases and structured data (SQL, PostgreSQL, Microsoft SQL Server) to support AI-driven insights or automated reporting solutions.
  • Ability to translate manufacturing challenges into AI use cases by understanding process flows, failure modes, constraints, and key performance metrics.
  • Experience experimenting with low-code, no-code, or lightweight scripting platforms (Python, JSON automation, Power Apps, VBA) to prototype digital or AI-assisted solutions.
  • Capability to evaluate AI tools and determine feasibility, expected ROI, data requirements, and integration points with systems such as MES, ERP, PLM, or CAD.
  • Strong systems-thinking approach, enabling the engineer to see how AI opportunities emerge from the interaction of processes, data pipelines, engineering standards, and production execution.

In compliance with pay transparency requirements, the salary range for this role in California is $84,000- $156,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.
#LI-BR2
L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish .

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