Job summary
Job post source
This job is directly from Ironclad
Job overview
The AI Data Scientist, Evaluation & Insights at Ironclad focuses on improving AI models that manage contracts, directly impacting product effectiveness and customer value.
Responsibilities and impact
The role involves analyzing datasets, designing labeling campaigns, building dashboards, investigating failure modes, operationalizing feedback loops, running A/B tests, supporting scalable AI infrastructure, and ensuring transparent data handling processes.
Compensation and benefits
The compensation range is $125K - $170K; other benefits are not specified in the description.
Experience and skills
Requires a Bachelor's or Master's in a quantitative field, 1-3 years in applied ML or data science especially in NLP or LLM, strong SQL and Python skills, and experience with data analysis tools; familiarity with LLM evaluation and RLHF is a plus.
Work environment and culture
Ironclad values a bias for action, data curiosity, ownership mindset, team-first attitude, and comfort in fast-paced, iterative environments focused on AI product development.
Company information
Ironclad is a leading AI-powered contract lifecycle management platform trusted by major companies, recognized by Forrester, Gartner, Fortune, Glassdoor, and Forbes, and backed by top investors.
Team overview
The candidate will work within the AI Pillar, collaborating closely with AI Engineers and Product Managers.
Unique job features
The role offers the opportunity to work on cutting-edge AI in contract management, including agentic and LLM-based systems, with a focus on data-driven model improvement and innovative evaluation techniques.
Company overview
Ironclad is a leading digital contracting platform that streamlines the creation, management, and analysis of business contracts. They generate revenue through subscription fees for their software-as-a-service (SaaS) model, catering to enterprises looking to automate and optimize their legal workflows. Founded in 2014 by Jason Boehmig and Cai GoGwilt, Ironclad has rapidly grown, securing significant venture capital funding and building a reputation for innovation in legal technology. Their platform integrates with various business tools, enhancing efficiency and compliance in contract management.
How to land this job
Position your resume to highlight experience with AI and ML evaluation, especially in NLP or LLM applications, emphasizing skills in analyzing training data, error taxonomy, and feedback loop operationalization relevant to Ironclad's AI Pillar.
Emphasize proficiency in Python, SQL, data slicing, experiment tracking, and dashboard creation to showcase your ability to handle large datasets and communicate insights effectively to cross-functional teams.
Apply through multiple channels including Ironclad's corporate careers page, LinkedIn, and reputable job boards to maximize your application visibility for the AI Data Scientist role.
Connect on LinkedIn with AI Engineers, Product Managers, and team members in Ironclad's AI division; use ice breakers like commenting on recent Ironclad AI innovations, asking about challenges in AI model evaluation, or expressing enthusiasm for their work on agentic systems.
Optimize your resume for ATS by incorporating keywords from the job description such as 'LLM evaluation,' 'data-driven model improvement,' 'prompt clustering,' 'feedback loops,' and 'experiment tracking' to ensure it passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms for submission, and find LinkedIn contacts for networking, allowing you to focus your time on interview preparation and skill enhancement.
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