About the Role The Legal Knowledge Engineer - Transactional is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations ...
About the Role The Legal Knowledge Engineer - Transactional is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations ...
About the Role The Legal Knowledge Engineer - Transactional is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations ...
About the Role The Legal Knowledge Engineer - Transactional is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations ...
About the Role The Legal Knowledge Engineer - Litigation is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations ...
About the Role The Legal Knowledge Engineer - Litigation is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations ...
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As an Ontology and Knowledge Graph Engineer in Chase's Data and Analytics Office, you will curate the semantic data assets that connect our enterprise data estate to a shared, intelligent knowledge ...
As an Ontology and Knowledge Graph Engineer in Chase's Data and Analytics Office, you will curate the semantic data assets that connect our enterprise data estate to a shared, intelligent knowledge ...
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Experienced Lead Ontologist / Knowledge Engineer to design, build, and govern enterprise ontologies, knowledge models, and semantic solutions. The role focuses on enabling semantic interoperability ...
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Knowledge Engineer information
See salary details
$22.12 - $26.77
15% of jobs
$26.77 - $31.42
1% of jobs
$31.42 - $36.08
4% of jobs
$36.80 is the 25th percentile. Wages below this are outliers.
$36.08 - $40.73
31% of jobs
$40.73 - $45.39
4% of jobs
$45.39 - $50.04
2% of jobs
$50.04 - $54.70
2% of jobs
$57.63 is the 75th percentile. Wages above this are outliers.
$54.70 - $59.35
24% of jobs
$59.35 - $64.01
5% of jobs
$64.01 - $68.66
2% of jobs
$68.66 - $73.32
9% of jobs
$22
$47
$73
How much do knowledge engineer jobs pay per hour?
What Is a Knowledge Engineer?
A knowledge engineer works with data and computer systems with the goal of making the technology imitate human thought processes to solve problems that typically require expertise. Working in a sector of artificial intelligence within the information technology field, a knowledge engineer looks at everyday processes and determines what course of thought a human takes to make a decision or begin an activity. They then create computer systems reliant on this extensive data to guide a machine to simulate human cognition and problem-solving. The data validation process is a vital aspect of a knowledge engineer’s job. They must gather an accurate understanding of the tasks at hand and ensure that the data meets specific standards.
What are the key skills and qualifications needed to thrive as a Knowledge Engineer, and why are they important?
What are some common challenges Knowledge Engineers face when collaborating with subject matter experts (SMEs)?
What are Knowledge Engineers?
What is the difference between Knowledge Engineer vs Data Scientist?
| Aspect | Knowledge Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, AI, or related fields; knowledge of ontologies and knowledge bases | Bachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis |
| Work Environment | Typically in AI development teams, focusing on knowledge systems and expert systems | Often in analytics teams, working with large datasets and predictive modeling |
| Employer & Industry Usage | Used in AI, robotics, and enterprise knowledge management | Common in tech, finance, healthcare, and marketing sectors |
While both roles involve working with data and information, Knowledge Engineers focus on structuring and encoding knowledge for AI systems, whereas Data Scientists analyze data to extract insights and build predictive models. Their skills and tools differ, but both are essential in data-driven industries.

Full-time
Medical, Life, Retirement, PTO
Posted 20 hours ago
Job description
Latham & Watkins is one of the world's leading global law firms advising the businesses and institutions that drive the global economy. We are the market leaders in major financial and business centers around the world. Our investment in people, commitment to innovation, and focus on the future empower you to build an incredible career and thrive as an exceptional professional in a supportive culture. If you aspire to be the best, and work with the best, this is where you belong.
About the RoleThe Legal Knowledge Engineer - Transactional is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations that power artificial intelligence (AI)-enabled legal workflows, while creating and maintaining evaluation datasets, test cases, and quality benchmarks for AI-powered tools to support systematic assessment of output accuracy and consistency. This role will be located in either our New York, Boston, or Silicon Valley offices. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.
Responsibilities & QualificationsOther key responsibilities include:
- Developing and implementing quality assurance protocols and evaluation frameworks for AI outputs, establishing standards for accuracy, completeness, and alignment with attorney expectations
- Translating transactional practice requirements into structured knowledge repositories, prompt templates, and context specifications that optimize AI system inputs for highquality outputs
- Analyzing AI output quality across workflows by identifying patterns, gaps, and opportunities to improve context, inputs, and evaluation criteria
- Monitoring and reporting on quality metrics, accuracy measures, and evaluation results for AIpowered workflows, using datadriven insights to guide knowledge asset refinement and context optimization
- Conducting research to identify best practices for knowledge curation, context management, and AI evaluation methodologies, while staying current with advances in retrievalaugmented generation and legal AI applications
- Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains
We'd love to hear from you if you:
- Possess strong expertise in knowledge engineering and AI systems, with the ability to curate and structure information to optimize AI inputs and outputs for accuracy, consistency, and alignment with legal practice standards
- Demonstrate a solid understanding of transactional legal practice, including mergers and acquisitions (M&A), finance, and capital markets workflows, with the ability to translate practice expertise into structured knowledge assets and evaluation criteria
- Exhibit strong knowledge curation capabilities, including developing reference libraries, context repositories, evaluation datasets, and quality assurance frameworks for AIpowered transactional tools
And have:
- A bachelor's degree or equivalent, preferably in law, computer science, information systems, or a related field
- A minimum of three (3) years of experience in legal technology, knowledge management, or legal practice, with demonstrated experience in knowledge curation, artificial intelligence (AI) evaluation, or quality assurance
Successful candidates will not only be provided with an outstanding career opportunity and welcoming environment, but will also be provided with a generous total compensation package with bonuses awarded in recognition of both individual and firm performance. Eligible employees can participate in Latham's comprehensive benefit program which includes:
- Healthcare, life and disability insurance
- A generous 401k plan
- At least 11 paid holidays per year, and a PTO program that accrues 23 days during the first year of employment and grows with tenure
- Well-being programs (e.g. mental health services, mindfulness and resiliency, medical resources, well-being events, and more)
- Professional development programs
- Employee discounts
- Affinity groups, networks, and coalitions for lawyers and staff
Latham & Watkins is an equal opportunity employer. The Firm prohibits discrimination against any employee or applicant for employment on the basis of race (including, but not limited to, hair texture and protective hairstyles), color, religion, sex, age, national origin, sexual orientation, gender identity, veteran status (including veterans of the Vietnam era), gender expression, marital status, or any other characteristic or condition protected by applicable statute.
Please click here to view the full job description for this role.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. An employer that violates this law may be subject to fines and/or a private right of action for $500 in statutory damages "for each such violation," among other things.
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Pay RangeUSD $155,000.00 - USD $190,000.00 /Yr.Employment Type: FULL_TIMEAbout Latham & Watkins
Sourced by ZipRecruiter
Company size
1,001 - 5,000 Employees
Headquarters location
Los Angeles, CA, US
Year founded
1934