2104 Ai Engineer Ai Foundations Python jobs in Houston,TX

Sign-on payments and restricted stock units (RSUs)

153,600.00 - 207,800.00 USD annually

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave

You'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional

5+ years of cloud architecture and solution implementation experience

Bachelor's degree, or 7+ years of professional or military experience

5+ years of experience in data engineering, data architecture, and/or data platform development, with hands-on implementation of production data pipelines

Experience with modern data platform design patterns, including data lakes, lakehouses, data mesh, and zero-ETL patterns and streaming architectures, using services such as Amazon SageMaker Lakehouse, SageMaker Unified Studio, Amazon S3 Tables, Amazon Redshift, and zero-ETL integrations

Experience with architecting and engineering ontologies and knowledge graphs in enterprise environments

AWS certifications in Data Analytics or Machine Learning Specialty preferred

Hands-on experience with Apache Iceberg, Spark, Databricks, Snowflake, Kafka, or equivalent distributed data processing frameworks

Experience designing and implementing knowledge graph architectures, ontology models, or semantic data layers that support AI/ML and agentic AI systems

Experience with data governance and cataloging tools (e.g., AWS Glue Data Catalog, Collibra, Alation) and data lineage tracking and designing data access patterns that support identity and least-priviledge access

Proficiency in AI-DLC or equivalent AI-accelerated development methodologies — including prompt engineering as a development discipline, mob programming with AI, and experience validating AI-generated data pipeline code for production deployment in regulated environments

Up to USD $15 per hour, paid weekly

Earn up to USD $15 per hour

On average, contributors earn an additional 7.5% through Missions — Outlier's version of surge pricing.

The top quartile boosts their earnings by an average of 11%.

Payments are processed weekly on Tuesdays, covering tasks completed during the previous pay period (Tuesday to Monday at midnight UTC), via PayPal, AirTM, or ACH transfer.

Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.

Free access to leading LLMs, worth $200+/month

Flexible, no minimum hours

Set your own schedule, whether that's five or 40+ hours per week.

A valid ID

Mobile phone from your country of residence

An up-to-date resume that highlights your expertise

A LinkedIn profile showing your educational background and work experience

You must be authorized to work in your country of residence.

Currently accepting applicants from:** Australia, Canada, Ireland, New Zealand, United Kingdom, and United States.

Fluent English speaker

Experience writing short, evidence-based explanations or reviews

Pursuing or holding a Bachelor's degree or above