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Day Data Annotation Jobs in Kansas (NOW HIRING)

Day Data Annotation information

Can I use ChatGPT for data annotation?

Day Data Annotation jobs typically involve labeling data manually to improve machine learning models. While ChatGPT can assist with generating or reviewing data, it is not a substitute for the detailed, accurate labeling performed by human annotators required in these roles.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require extensive experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the company's demand and the complexity of the annotation tasks.

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.

Does data annotation really pay you?

Data annotation jobs, including day data annotation roles, typically pay hourly or per task rates, with earnings varying based on experience, complexity of tasks, and platform. Many annotators earn a modest income, often comparable to entry-level work, and consistent pay depends on workload and employer policies.

Is data annotation real or fake?

Data annotation is a legitimate job involving labeling data such as images, text, or audio to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

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 are popular job titles related to Day Data Annotation jobs in Kansas? For Day Data Annotation jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Day Data Annotation jobs in Kansas look for? The top searched job categories for Day 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:
Research Professional

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

110th of 539 rated colleges and universities


Job description

Department

Booth Faculty Research - Research Professional


About the Department

The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges.
Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment.
Chicago Booth is proud to claim:
-an unmatched faculty.
-degree and open enrollment programs offered on three continents.
-a global body of nearly 56,000 accomplished alumni.
-strong and growing corporate relationships that provide a wealth of lifelong career opportunities.
As part of the world-renowned University of Chicago, Chicago Booth shares the University's core values that shape the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http://www.chicagobooth.edu/.


Job Summary

Research Professionals work with faculty to collect data, maintain databases, conduct statistical analysis, and provide other support associated with faculty research.
This position is expected to last one year with the possibility of a second.

Responsibilities

  • Collects data, assists with experimental study, conducts complex statistical analysis, writes statistical software programs, and organizes the presentation of results.
  • Assists with prompt engineering experiments and output testing.
  • Evaluates model outputs for factual consistency and clarity.
  • Supports development and testing of guardrail mechanisms.
  • Creates charts, tables, and descriptive text for presentations.
  • Maintains databases, reviews background materials, and performs preliminary research. Helps to maintain datasets, documentation, and evaluation logs.
  • Obtains and organizes information for research from other academic institutions and practitioners.
  • Proofreads and edits citations of research reports, working papers, and publications.
  • Maintains effective communication with all members of the faculty and outside institutions.
  • Maintains technical and administrative support for a research project.
  • Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.


Certifications:

---

Preferred Qualifications

Education:

  • Bachelor's degree or higher in a field relevant to the research being conducted by start.

Experience:

  • A minimum one year of relevant research experience.

Technical Skills or Knowledge:

  • Demonstrated proficiency in Python.
  • Familiarity with machine learning or large language models.
  • Familiarity working with APIs for LLMs or generative AI systems.
  • Proficiency with data annotation, evaluation pipelines, or model benchmarking.
  • Familiarity with NLP tools or text-based data analysis.

Preferred Competencies

  • Outstanding verbal, written, and presentation skills, as well as organizational skills.
  • Work independently with little supervision; possess a self-motivated disposition; identify opportunities for improvement and recommend effective changes, all while achieving key objectives resulting in desired outcomes.
  • Excellent strategic planning, critical thinking, analytical, and persuasion skills.
  • Handle multiple detailed tasks/projects simultaneously and meet strict deadlines with frequent interruptions.
  • Demonstrated ability to work effectively and diplomatically with colleagues, as well as with students, faculty and corporate contacts in a multitude of communication methods, including in person, email, and phone.
  • Professional demeanor, including tact, discretion, and a customer service-oriented approach.

Working Conditions

  • This position is currently expected to work a minimum three days per week in the office.

Application Documents

  • Resume/CV (required)
  • Cover Letter (required)
  • Two Letters of Reference, emailed directly to: stephen.lamb@chicagobooth.edu (required)
  • Academic Writing Sample (required)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Research


Role Impact

Individual Contributor


Scheduled Weekly Hours

37.5


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$59,000.00 - $62,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


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