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Contract Knowledge Graph Jobs (NOW HIRING)

Fabrion

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

You'll build the backend systems, data pipelines, connector frameworks, and graph-based knowledge ... Create and manage data contracts, access layers, lineage, and governance mechanisms * Build and ...

TEKsystems

Data Engineer

Deerfield, IL · Remote

$70 - $85/hr

Develop and maintain knowledge graphs and graph-based data structures * Build and manage graph ... Contract position based out of Deerfield, IL. Pay and Benefits The pay range for this position is ...

Emberos

Product Lead (Head of Product)

Los Angeles, CA · Remote

... Knowledge Graph, Fix Packs, and the roadmap across all product lines. You'll define what gets built ... data contracts, strong pov on what good instrumentation and observability looks like; can write a ...

Terzo

Data Scientist

OR · On-site +1

Strong intuition for entity resolution, knowledge graph construction, or graph-based modeling and ... Background in procurement, contract management, spend analytics, or financial operations domains

Black Canyon Consulting

Lead Ontologist

Bethesda, MD · Remote

We define competency questions as the contract for what a system must be able to answer, design ... Experience with knowledge graph platforms or graph databases * Experience in client-facing roles ...

Ucf

Post Doctoral Scholar

Orlando, FL

$58K/yr

Experience in ontology, knowledge graph building and multimodal data analysis. Additional ... contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

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All JobsContract Knowledge Graph Jobs

Contract Knowledge Graph information

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$9

$31

$119

How much do contract knowledge graph jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for contract knowledge graph in the United States is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.96 per hour, depending on experience, location, and employer.

How does a Contract Knowledge Graph specialist typically collaborate with legal and IT teams during implementation projects?

A Contract Knowledge Graph specialist often works closely with legal teams to understand contract structures, key clauses, and compliance requirements, ensuring that the graph accurately represents legal relationships and obligations. Simultaneously, they partner with IT and data teams to integrate data sources, design the graph schema, and implement technical solutions. Effective collaboration requires clear communication, regular meetings, and the ability to translate legal concepts into technical requirements, which helps ensure the knowledge graph delivers actionable insights for both legal and business stakeholders.

What are the key skills and qualifications needed to thrive as a Contract Knowledge Graph Specialist, and why are they important?

To excel as a Contract Knowledge Graph Specialist, you need expertise in semantic data modeling, contract analysis, and a background in computer science or information management. Familiarity with tools like Neo4j, RDF, SPARQL, and experience with natural language processing (NLP) solutions are typically required. Strong analytical thinking, attention to detail, and effective communication skills help translate complex contract terms into structured, actionable data. These competencies ensure accurate, scalable contract data representation, enabling better compliance, searchability, and automation for organizations.

What is the difference between Contract Knowledge Graph vs Contract Analyst?

AspectContract Knowledge GraphContract Analyst
Required CredentialsTypically a background in data science, knowledge graphs, or related fieldsUsually a degree in law, business, or finance
Work EnvironmentData-driven, often in tech or AI-focused teamsLegal, finance, or corporate departments
Employer & Industry UsageTech companies, AI firms, legal techCorporations, law firms, government agencies
Common Search & Comparison IntentUnderstanding data modeling and AI applications in contractsAnalyzing contract terms and compliance

The Contract Knowledge Graph focuses on creating structured, interconnected data models for contracts using AI and data science skills. In contrast, a Contract Analyst primarily reviews, interprets, and manages contract data within legal or business contexts. While both roles deal with contracts, the Knowledge Graph role emphasizes data structuring and AI, whereas the Analyst role centers on contract review and analysis.

What is a Contract Knowledge Graph?

A Contract Knowledge Graph is a structured representation of the information and relationships found within contracts. It uses graph technology to map entities such as parties, clauses, obligations, and deadlines, and the connections between them. This makes it easier to search, analyze, and visualize contractual data, enabling more efficient compliance checks, risk assessments, and contract lifecycle management. Organizations use contract knowledge graphs to gain better insights, automate contract analysis, and improve decision-making processes.
More about Contract Knowledge Graph jobs
What cities are hiring for Contract Knowledge Graph jobs? Cities with the most Contract Knowledge Graph job openings:
What are the most commonly searched types of Knowledge Graph jobs? The most popular types of Knowledge Graph jobs are:
What states have the most Contract Knowledge Graph jobs? States with the most job openings for Contract Knowledge Graph jobs include:
What job categories do people searching Contract Knowledge Graph jobs look for? The top searched job categories for Contract Knowledge Graph jobs are:
Contract Knowledge Graph jobs near you
Infographic showing various Contract Knowledge Graph job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $64,550 per year, or $31 per hour.

Product Engineer, Infrastructure Deployment

Fluidstack

San Francisco, CA • On-site

$150K - $275K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Fluidstack
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
How We Operate
  • High ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
  • Velocity. We drive everything forward as fast as possible.
  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
The Decision Team
Examples of key problems the team is working on
  • Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand.
  • Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit.
  • Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them.

Role Scope
  • Build the deployment knowledge graph, forward-deployed on live sites beside the Infrastructure Deployment Engineers, so every rack, cable run, fiber link, QA inspection, OTDR trace, optical loss result, and copper certification lands as structured data tied to the exact link it tested, and as-builts become a live, queryable model of what was actually built.
  • Encode the real sequencing rules of a site bring-up (the network room comes up first, the end-of-row rack is the synchronization point) so software generates the low voltage contractor schedule, milestone tracking, site access, and material staging, replans when a shipment slips, and flags the delay before it costs the date.
  • Turn the contractor bidding workflow into software: vendor bids in, a selected contract out, and every vendor ranked by measured speed and QA accuracy per region, so the next award is made on performance data the graph already holds.
  • Generate per-rack checklists and multi-stage inspection plans straight from design documentation, verify submitted results against spec automatically, and auto-create the punch list, so deployment engineers spend their time adjudicating exceptions.
  • Assemble closeout the moment work completes: final test reports, as-builts, and root cause analyses produced from the graph, so handover to operations is a state transition with evidence attached and an ops tech can localize a down link (transceiver versus cable versus DWDM) with zero training.

What We're Looking For
The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem requires.
  • You've built with LLM APIs (OpenAI, Anthropic, or open-weight models), created and consumed MCP servers, and shipped with agentic frameworks.
  • You work with AI coding tools like Claude Code and Cursor every day and get agents producing real work autonomously alongside you.
  • You've spotted a problem no one assigned you, designed the fix, and shipped it to production with minimal direction.
  • You've moved fast without leaving wreckage: systems you built under deadline are ones other engineers extended rather than rewrote.
  • You've earned credibility with people who don't live in software, field engineers or cabling crews, and driven adoption of your tool on their turf.
  • You sweat product and design details, and the tools you've shipped are ones users chose over their spreadsheets.
  • Bonus: Structured cabling and fiber (OTDR, optical loss testing). Rack and cluster bring-up. IP provisioning. DCIM tooling. Time on a deployment site.

Compensation & Benefits
Our cash compensation range for this role is $150,000-$275,000. Final offers may vary from the amount listed based on geography, candidate experience and expertise, relevant licenses/credentials, and other factors. We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.
Benefits:
  • Competitive total compensation package (cash + equity)
  • Health, dental, and vision insurance
  • Retirement plan
  • Generous PTO policy
  • We are committed to pay equity and transparency.

We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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