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Day Data Annotation Jobs in Kansas (NOW HIRING)

Day Data Annotation information

What are the key skills and qualifications needed to thrive as a Day Data Annotation Specialist, and why are they important?

To excel as a Day Data Annotation Specialist, you need strong attention to detail, data entry accuracy, and a solid understanding of the subject matter being annotated, often supported by a high school diploma or relevant experience. Familiarity with annotation tools, spreadsheets, and data management software is typically required. Excellent concentration, time management, and clear communication skills help professionals stand out in this role. These abilities are crucial to ensure high-quality, consistent data labeling that directly impacts the performance of machine learning models and downstream business applications.

What are Day Data Annotation jobs?

Day Data Annotation jobs involve reviewing and tagging data, such as images, text, audio, or video, during regular daytime hours. Annotators help prepare datasets for machine learning and artificial intelligence by labeling or categorizing information according to specific guidelines. This work is essential for training algorithms to recognize patterns, objects, or language. Day Data Annotation can be done remotely or in-office, and it often requires attention to detail and good communication skills.

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

AspectDay Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, collaborative teamsRemote or on-site, independent work
Industry UsageAI/ML companies, tech firmsAI/ML, data processing companies
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Day Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI. Day Data Annotation often involves more detailed annotation tasks, while Data Labelers may perform broader labeling activities. Both roles require basic technical skills and are vital in AI development across tech industries.

What are some common challenges faced by Day Data Annotation specialists and how can they be addressed?

Day Data Annotation specialists often encounter challenges such as maintaining high accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To address these, it's important to develop strong attention to detail, use project guidelines as references, and communicate with team leads or peers when uncertainties arise. Many organizations also provide regular feedback and quality assurance checks, which help annotators improve their performance and consistency over time.
What are the most commonly searched types of Data Annotation jobs in Kansas? The most popular types of Data Annotation jobs in Kansas are:
What cities in Kansas are hiring for Day Data Annotation jobs? Cities in Kansas with the most Day Data Annotation job openings:

Manager, Data Science & Innovation - Wearable Devices

Colgate-Palmolive Company

Topeka, KS

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.

Responsibilities:

  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.

  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.

  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.

  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.

  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.

  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:

  • Master’s degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.

  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.

  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.

  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:

  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.

  • Domain-specific expertise in developing machine learning models for animal behavior analysis.

  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.

  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.

  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

 


Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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