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Data Annotation For Ai Jobs in Delafield, WI (NOW HIRING)

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

... views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data analysis techniques to discern patterns and trends - Collaborating with team ...

AI Integration Architect

Milwaukee, WI · On-site

$69.75 - $90/hr

Our data powers underwriting, claims, and catastrophe risk decisions for the nation's largest carriers. We are building the AI-first data foundation that defines how the industry consumes property ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Transactional Lawyer

Milwaukee, WI · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Business Law Attorney

Milwaukee, WI · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Transaction Attorney

Milwaukee, WI · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Showing results 21-40

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What job categories do people searching Data Annotation For Ai jobs in Delafield, WI look for?

The top searched job categories for Data Annotation For Ai jobs in Delafield, WI are:

What cities near Delafield, WI are hiring for Data Annotation For Ai jobs?

Cities near Delafield, WI with the most Data Annotation For Ai job openings:

Senior Manager - Compliance, AI & Data Strategy

FIS

Milwaukee, WI • On-site

Full-time

Re-posted 4 days ago


FIS Global rating

7.4

Company rating: 7.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

169th of 247 rated software companies


Job description

Job Description

At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS?

About the role:

We're seeking a Senior Manager to own, design, and operationalize the Compliance AI technology and data strategy across the 2nd line FIS Corporate Compliance function. In this role, you will serve as the primary technical liaison to cross-functional FIS AI teams, setting the standards for AI tools and data use within Compliance. You will work with the compliance team to document foundational processes to support AI agents, agentic workflows and other technical solutions that enhance monitoring, operational processes, and reporting capabilities. You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance functions to report on program health and KPIs to Compliance leadership and other key stakeholders, participate in regulatory compliance technology and data strategy, and regularly interact with executives.

About the team:

The team you will be joining plays a critical role in advancing the Compliance function's AI and data capabilities across the FIS enterprise. We are responsible for developing and governing the AI tools, data infrastructure, and testing frameworks that underpin our compliance programs. To be successful, we need your experience navigating a complex, highly regulated financial services environment and your ability to drive cutting-edge AI solutions that enable compliance scalability, accuracy, and resilience. You will be a hands-on leader who produces deliverables day to day while shaping long-term strategy.

What you will be doing:

  • Own the end-to-end Compliance AI technology and data strategy, including roadmap development, architecture decisions, and alignment with enterprise AI governance and global regulatory expectations
  • Lead engagement with the FIS cross-functional AI teams, serving as the Compliance function's primary point of contact for enterprise AI data & technology initiatives
  • Set and enforce standards for AI tools, large language models, and data use within the Compliance department, including responsible AI guardrails
  • Design, develop, and deploy AI agents and technical solutions (including agentic workflows, LLM/SLM integrations, and automation pipelines) to enhance compliance monitoring, operations, and reporting
  • Build the foundations of the compliance AI monitoring framework, including model performance tracking, drift detection, explainability requirements, and ongoing validation protocols
  • Run the compliance data and systems Testing & Monitoring function, including design and execution of test plans, test script automation, data integrity assessments, issue identification, remediation tracking, and reporting to Compliance leadership
  • Develop relevant dashboards, KPIs, and data-driven insights that translate compliance risk into quantitative metrics, enabling leadership to assess program maturity, coverage gaps, and risk appetite alignment

What you will need:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics/Statistics, Engineering, or a related discipline
  • Preferred: Master's degree, J.D., or the equivalent combination of education, training, or work experience
  • 10+ years of experience in financial services compliance, regulatory technology, or risk management, with demonstrated familiarity with BSA/AML, data privacy, financial crimes regulations, and regulatory examination processes
  • 8+ years of experience in data management, analytics, data governance, data architecture, AI/ML model development, or AI governance within a regulated environment
  • 5+ years of experience leading teams, managing cross-functional technology programs, and building positive business partner relationships with senior stakeholders
  • Strong hands-on experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) required; experience with LLM orchestration tools and prompt engineering strongly preferred
  • Demonstrated experience building agentic/AI workflows leveraging LLMs and SLMs, including retrieval-augmented generation, automated compliance testing, and intelligent document processing
  • Proficiency with compliance monitoring systems, data platforms, and dashboarding tools such as Databricks, Snowflake, Tableau, PowerBI, and related database and cloud technologies preferred; familiarity with model risk management frameworks a plus
  • Excellent verbal and written communication skills with the ability to translate complex technical AI concepts into actionable guidance for both business and technical audiences
  • Proven ability to influence critical Compliance and technology outcomes in a complex, matrixed organization that requires cross-collaboration with Business, Risk, Product, Legal, Privacy, and Information Security teams

What we offer you:

At FIS, you can grow your career as far as you want to take it. Here's what else we offer:

Opportunities to make an impact in fintech

Personal and professional learning

Inclusive, diverse work environment

Resources to give back to your community

Competitive salary and benefits

An inclusive workspace built on collaboration, flexibility and respect.

A salary and benefits package that reflects your hard work.


FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $119,560.00 - $200,840.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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What FIS Global employees say

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Hours and flexibility

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About FIS

Sourced by ZipRecruiter

FIS is a leader in technology and services that helps businesses and communities thrive by advancing commerce and the financial world. For over 50 years, FIS has continued to drive growth for clients around the world by creating tomorrow’s technology, solutions and services to modernize today’s businesses and customer experiences. By connecting merchants, banks and capital markets, we use our scale, apply our deep expertise and data-driven insights, innovate with purpose to solve for our clients’ future, and deliver experiences that are more simple, seamless and secure to advance the way the world pays, banks and invests. Headquartered in Jacksonville, Florida, FIS employs more than 55,000 people across 50+ countries, dedicated to helping our clients be ahead of what’s next. FIS offers more than 450 solutions and processes over $75b of transactions around the planet. FIS is a Fortune 500® company and is a member of Standard & Poor’s 500® Index.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Jacksonville , FL, US

Year founded

1968

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