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Tackle Ai Jobs in Riverside, CA (NOW HIRING)

Senior Software Engineer, MLOps

Irvine, CA ยท On-site +1

$131K - $173K/yr

... tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI ...

FieldAI is transforming how robots interact with the real world, building AI systems to tackle complex challenges in robotics. The Software Engineer, Product will develop customer-facing products ...

... tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI ...

BIM/VDC Engineer

Irvine, CA ยท On-site

$80 - $110/hr

... tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI ...

New

... tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI ...

... tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI ...

BIM/VDC Engineer

Irvine, CA ยท On-site

$90 - $130/hr

... tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI ...

New

Sr. Software Engineer, Dataplane

Irvine, CA ยท On-site

$118 - $154/hr

Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx ... and tackle questions that used to feel impossible. If you're ready to meet the moment with ...

New

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Tackle Ai information

See Riverside, CA salary details

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How much do tackle ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for tackle ai in Riverside, CA is $35.54, according to ZipRecruiter salary data. Most workers in this role earn between $28.08 and $47.64 per hour, depending on experience, location, and employer.

What is Tackle AI?

Tackle AI is a technology company specializing in artificial intelligence solutions that automate the extraction and processing of data from complex documents. Their software leverages machine learning to read, understand, and organize information from various sources, helping businesses save time and reduce manual data entry. Tackle AI's services are commonly used in industries like healthcare, legal, and finance, where handling large volumes of documents efficiently is critical.

How does a Tackle AI engineer typically collaborate with cross-functional teams to deliver AI-driven solutions?

As a Tackle AI Engineer, you'll regularly work alongside data scientists, product managers, and software developers to design, implement, and optimize AI-powered products. Collaboration often involves translating business requirements into technical solutions, participating in code reviews, and ensuring models are scalable and reliable in production environments. Open communication and agile methodologies are common, enabling quick iteration and alignment across teams. These interactions help ensure that AI solutions are both effective and aligned with overall business objectives.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning algorithms and data analysis. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and having certifications in AI or data science are highly beneficial. Strong problem-solving skills, creativity, and effective communication help you design innovative AI solutions and collaborate with multidisciplinary teams. These skills are crucial for developing, deploying, and maintaining AI systems that address real-world challenges efficiently.

What is the difference between Tackle Ai vs Data Analyst?

AspectTackle AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science fundamentalsRequires degrees in statistics, mathematics, or related fields; often certifications in data analysis
Work EnvironmentTech companies, startups, or AI-focused teamsBusiness, finance, healthcare, and other industries with data needs
Employer & Industry UsageUsed by AI firms, tech companies, and organizations implementing AI solutionsUsed across various industries for data interpretation and reporting

While Tackle Ai focuses on developing and implementing AI solutions, Data Analysts primarily interpret data to inform business decisions. Tackle Ai roles often require programming and AI-specific skills, whereas Data Analysts focus on data visualization and statistical analysis. Both roles are vital in data-driven organizations but serve different functions within the data ecosystem.

What is the easiest Tackle Ai job to get into?

Entry-level roles related to Tackle AI often include data annotation or labeling positions, which typically require minimal prior experience and focus on understanding basic AI concepts. These jobs usually involve working with labeled datasets and may require familiarity with tools like annotation platforms; they are often accessible to beginners. Gaining basic knowledge of AI and machine learning can improve chances of entry into more advanced positions later.

What cities near Riverside, CA are hiring for Tackle Ai jobs?

Cities near Riverside, CA with the most Tackle Ai job openings:

Senior Software Engineer, MLOps

FieldAI

Irvine, CA โ€ข On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 6 days ago


Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do
  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart
  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.ย  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
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Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
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You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. Withย a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
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Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
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We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.ย 
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Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
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We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
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.
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