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Data Annotation Law Jobs in Kentucky (NOW HIRING)

$150 - $230/hr

Familiarity with AI/ML workflows, data annotation, or data services business models. Experience ... law. We consider qualified applicants regardless of criminal histories, consistent with legal ...

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$152 - $288/hr

Support development of Physical AI data factories for data ingestion, preprocessing, annotation ... law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global ...

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Data Annotation Law information

What is data annotation law?

Data Annotation Law refers to the legal frameworks and regulations that govern the process of labeling, tagging, or categorizing data for use in machine learning and artificial intelligence applications. These laws address issues such as data privacy, intellectual property, consent, and the ethical use of annotated data. Data Annotation Law ensures that organizations handle data responsibly and comply with national and international standards when using human annotators or automated systems. It is crucial for companies to understand these legal requirements to avoid potential legal liabilities and protect the rights of data subjects.

What are the key skills and qualifications needed to thrive as a data annotation specialist?

To thrive as a Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and a basic understanding of data labeling protocols, often supported by a high school diploma or relevant training. Familiarity with data annotation tools like Labelbox, Supervisely, or CVAT, as well as knowledge of data privacy regulations, is typically required. Excellent communication, time management, and consistency are vital soft skills for collaborating with teams and maintaining annotation quality. These skills ensure accurate, reliable data labeling, which is critical for developing effective machine learning models.

What are some common challenges faced by professionals working in data annotation for the legal industry, and how can they be addressed?

Professionals in data annotation law often encounter challenges such as interpreting complex legal language, ensuring consistency and accuracy in labeling, and maintaining confidentiality with sensitive information. Collaboration with legal experts and ongoing training in legal terminology are essential to address these issues. Additionally, many organizations implement rigorous quality assurance processes and utilize annotation guidelines to help annotators navigate ambiguous cases and improve overall data quality.

What is the difference between Data Annotation Law vs Data Labeler?

AspectData Annotation LawData Labeler
CredentialsLegal knowledge, compliance certificationsBasic training, attention to detail
Work EnvironmentLegal offices, compliance departmentsData annotation platforms, remote or office settings
Industry UsageLegal, AI compliance, data privacyAI training, machine learning datasets
Search & ComparisonLegal roles, compliance in data annotationData labeling, data annotation jobs

Data Annotation Law involves legal expertise ensuring data annotation processes comply with laws and regulations, often requiring legal certifications. Data Labelers focus on annotating data for AI models, typically with basic training. While both roles work within data annotation, Data Annotation Law emphasizes legal compliance, whereas Data Labelers concentrate on data preparation for machine learning.

What are popular job titles related to Data Annotation Law jobs in Kentucky?

For Data Annotation Law jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Data Annotation Law jobs?

Cities in Kentucky with the most Data Annotation Law job openings:

Senior Organizational Development Consultant

Centific

On-site

$150 - $230/hr

Other

Posted 2 days ago

New


Job description

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job The Senior Organizational Development Consultant will lead a large cross-functional project to put foundational talent management frameworks in place for a global high-growth AI and Data Services business. Reporting to the CHRO, this role partners with senior leadership to architect the structures and frameworks that will underpin future talent management and organizational development strategies that will enable the company to scale with speed and precision.

KEY RESPONSIBILITIES
  • Organizational Design & Development Partner with global cross-functional HR and Business leaders to implement and operationalize a global leveling framework using the Radford job leveling structure.
  • Establish a global workforce planning framework to help define talent placement strategies to support business objectives including focus areas such as employee type, regional placement, management structures, and operational governance.
  • Partner with business and HR leaders to evaluate and establish organizational design principles related to spans & layers, team design & makeup, and reporting structure in a global, matrixed organization to clarify roles and accountabilities as the company scales.
QUALIFICATIONS
  • Required 12+ years of progressive OD, HR, or talent experience, with at least 3 years in a senior Experience leading large cross-functional projects including planning, & timelines, stakeholder management, establishing success measures, and status updates. Experience implementing job leveling frameworks with a comprehensive understanding of upstream and downstream implications. Demonstrated expertise in two or more of: organizational design, change management, talent management, or L&D program development. Experience leading global, cross functional projects Proven ability to influence senior stakeholders and translate business strategy into people and organizational interventions. Strong data fluency — comfortable designing measurement frameworks, interpreting analytics, and making evidence-based recommendations. Preferred Bachelor's or Master’s degree in Organizational Psychology, Business, HR, or a related field. Certification in change management (Prosci, ACMP) or coaching (ICF). Experience leading OD in a scaling or post-Series C/D venture-backed or publicly traded tech company. Familiarity with AI/ML workflows, data annotation, or data services business models. Experience selecting and implementing talent tech platforms (HCM, LMS/LXP, succession tools).

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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