Open AI training and model evaluation roles that call for Data Engineering expertise, gathered from 6 platforms. Part of Data & Machine Learning.
Pay figures cover the 35 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves creating high-quality financial datasets for AI training by reviewing accounting documents, extracting data into Excel templates, and validating accuracy. Accounting professionals will ensure financial datasets meet quality standards for AI model training in financial reasoning tasks.
This role involves designing and optimizing high-performance C backend systems and data pipelines for AI model training and evaluation. The position is ideal for experienced full-stack engineers who want to build production-grade infrastructure used by leading AI research organizations.
This role involves leading data governance initiatives for biotech and clinical trial data to ensure compliance, accuracy, and readiness for AI model training. The position requires bridging scientific, technical, and regulatory teams to establish policies that protect sensitive data while enabling innovation in life sciences and regulatory submissions.
Design and build high-performance C++ systems for AI data pipelines, evaluation workflows, and internal tooling. This role involves optimizing production codebases, developing backend services for data annotation and quality control, and collaborating with research teams to support model training infrastructure.
A Clinical Data Strategist analyzes complex multi-source clinical datasets to identify trends and generate actionable insights that improve patient outcomes and healthcare operations. This fully remote contract role is suited for experienced healthcare analytics professionals who can transform raw clinical data into structured summaries for downstream use.
A senior C++ engineer is needed to design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for leading AI research teams. This fully remote contract role involves full-stack development, system optimization, and collaboration with data and research teams on production-grade infrastructure.
This role involves managing and preparing datasets for AI model training by cleaning, organizing, and quality-checking data to ensure accuracy and consistency. The position suits detail-oriented individuals with strong organizational skills who want to contribute to AI development without requiring prior machine learning experience.
A senior Python engineer will design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for AI model training at scale. This fully remote contract role requires building full-stack infrastructure that processes large datasets and supports research workflows across distributed teams.
This role involves designing advanced data science challenges, writing benchmark solutions, and auditing AI-generated code to improve AI reasoning and reliability. It is designed for experienced data scientists who want flexible, intellectually demanding work training and evaluating machine learning systems.
This role involves designing complex data science challenges and authoring ground-truth solutions to train and evaluate advanced AI models. Data scientists will audit AI-generated code, identify logical reasoning failures, and provide structured feedback to improve model performance across machine learning, statistical inference, and data engineering domains.
This is a contract role for back end developers to design, build, and optimize server-side systems and APIs that power AI infrastructure, including data pipelines and model-serving infrastructure. The position is fully remote and flexible, targeting engineers in Brazil who want to work on scalable, high-performance systems supporting AI training and inference workloads.
This fully remote contract role is for a senior Python engineer who builds and optimizes the data pipelines, annotation tools and evaluation systems that AI labs use to train and benchmark their models. The work is hands-on with production systems and close collaboration with research and engineering teams. It suits backend engineers with deep Python and full-stack experience who want to lead technical decisions in AI infrastructure.
This contract role centers on designing and overseeing pipelines that merge genomic, clinical, and biomarker data into analytics platforms that support precision medicine. The work also helps shape how AI models learn to reason about healthcare data. It suits experienced professionals in healthcare data, genomics, or life sciences who want to contribute to AI development remotely.
This contract role centers on building the Python infrastructure that AI labs use to prepare and assess training data, including data pipelines, annotation tools and evaluation systems. It is aimed at senior engineers with deep production Python experience who can design distributed systems and lead architecture decisions.
This contract role centers on building and tuning high-performance Rust systems that support AI model development, including data pipelines, annotation tooling and evaluation infrastructure. It is aimed at senior engineers with deep Rust expertise who want to work fully remotely alongside research and engineering teams.
This contract role centers on building Python systems that power data pipelines, evaluation harnesses and annotation tooling for AI model development. It suits senior Python engineers who can work remotely on part-time hourly engagements alongside research and engineering teams.
This contract role centres on designing, building and tuning high-performance Rust systems that support AI data pipelines, evaluation workflows and annotation tooling. It suits senior Rust engineers who write safe, performant and correct code at scale and can work independently in an asynchronous setting. The resulting infrastructure feeds model training and evaluation work for research teams.
This contract role calls for a senior C engineer to build and tune the data pipelines, annotation tools and evaluation systems used to train AI models. The work is fully remote with flexible hours of 20 to 40 hours a week, and it suits engineers with long experience in scalable backend services.
This contract role centers on building and improving the Python data pipelines, annotation tools and evaluation systems used to train AI models. It is aimed at a senior engineer with at least five years of production Python experience and a strong full-stack and systems background, working remotely at 20 to 40 hours per week.
This contract role centers on building and tuning high-performance Rust systems that power AI data pipelines, annotation tools, and model evaluation workflows. It suits senior engineers with at least five years of production Rust experience who care about performance, concurrency, and correctness in large-scale systems.
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FAQ
41 Data Engineering AI training jobs are open on SideHustler today. 1 was posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 35 open roles that publish an hourly rate in USD, pay runs from $20 to $250 per hour, with a median of $63. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (25), micro1 (7), Mercor (5), Mindrift (2), Turing (1) and Vetto (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Data Engineering, AI Evaluation, Python, Backend Development, Data Annotation. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
