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Weekend Software Developer Ai Trainer Jobs in Missouri

Jobtailor

AI/ML Enablement Lead Engineer

California, MO · On-site

$140 - $210/hr

Strong software engineering background with hands‑on application development experience. * Experience designing, building, or delivering AI-enabled software solutions. * Experience implementing LLM ...

Jobtailor

AI Software Engineer

Dearborn, MO · On-site

$110 - $150/hr

... Software Engineering or Data Science building scalable production systems. * 1+ years of hands-on ... training, and deploying complex AI/ML systems in production environments. * Experience working with ...

Epiq

Lead AI Software Engineer

Kansas City, MO · Remote

This role will also champion modern development practices and utilize Azure DevOps for agile ... Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning. * Experience ...

Jobtailor

Software Engineer, AI Platform

California, MO · On-site

$120 - $180/hr

You prioritize based on product and business impact, balancing craft with urgency and operational simplicity. * 2-4 years of experience as a Software Engineer. * Experience with applied AI product ...

Medium

Lead Software Engineer

Kansas City, MO · On-site

$100 - $130/hr

We are seeking a Lead Software Developer to design and deliver modern software systems. This role ... Establish and maintain CI/CD pipelines using GitHub or Azure DevOps. * Use and promote AI-assisted ...

IMG LIVE

Senior Software Engineer

California, MO · On-site

$131.25 - $175/hr

We're also investing heavily in AI-assisted development, and engineers on this team actively use ... Solid software engineering experience, typically 5+ years* Strong full-stack development experience ...

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Weekend Software Developer Ai Trainer information

What is a weekend software developer AI trainer?

A Weekend Software Developer AI Trainer is a professional who works part-time, typically on weekends, to help train artificial intelligence systems by providing feedback, reviewing AI-generated code, or creating training data. This role often involves evaluating and correcting software code produced by AI, ensuring that it meets quality and functionality standards. Weekend Software Developer AI Trainers may also assist in improving AI models by suggesting enhancements, identifying errors, and providing domain expertise in software development. This position is ideal for experienced developers looking for flexible, remote work opportunities. It contributes to the advancement of AI technologies by leveraging human expertise to refine machine learning models.

What are the key skills and qualifications needed to thrive as a weekend software developer AI trainer?

To succeed as a Weekend Software Developer AI Trainer, you need a solid background in software development, AI concepts, and relevant programming languages such as Python, often backed by a computer science degree or equivalent experience. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), code versioning tools (such as Git), and online learning platforms is typically required. Strong communication, time management, and the ability to explain complex topics clearly are crucial soft skills for this role. These competencies enable you to effectively teach aspiring developers, facilitate engaging learning experiences, and keep pace with evolving AI technologies.

What does a typical weekend look like for a weekend software developer AI trainer in terms of workload and collaboration?

As a Weekend Software Developer AI Trainer, your primary responsibilities often include annotating data, reviewing AI model outputs, and providing feedback to improve algorithms. The workload is generally structured to accommodate part-time availability, with regular check-ins or updates to ensure alignment with the training team. Collaboration usually takes place asynchronously via project management tools or chat platforms, allowing you to communicate with other trainers, engineers, and project leads. This structure enables flexibility while ensuring that project milestones and quality benchmarks are met efficiently.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Missouri?

The most popular types of Software Developer Ai Trainer jobs in Missouri are:

What cities in Missouri are hiring for Weekend Software Developer Ai Trainer jobs?

Cities in Missouri with the most Weekend Software Developer Ai Trainer job openings:

Weekend Software Developer Ai Trainer jobs near you

Software Engineer, Frontier AI Infrastructure

Scale AI, Inc.

Saint Louis, MO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

79th of 245 rated software companies

Job description

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing.

You will:

  • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
  • Own services or systems and define their long-term health goals, while also improving the health of surrounding components
  • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
  • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.
  • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
  • Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have:

  • At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have:

  • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
  • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
  • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
  • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
  • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
  • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
  • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$184,000—$259,440 USD
The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:
$165,600—$233,496 USD
The base salary range for this full-time position in the location of St. Louis is:
$138,000—$194,580 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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