ZipRecruiter

Log In

1

Data Annotation Research Jobs in Missouri (NOW HIRING)

University of Rochester

$77K - $115K/yr

Contributes to scientific analysis of data generated by multiple research projects by organizing ... and functional annotation, utilizing an extensive working knowledge of linux/unix commands ...

All JobsData Annotation Research JobsData Annotation Research Jobs in Missouri

Data Annotation Research information

What qualifications do I need for data annotation?

Data annotation research roles typically require basic computer skills, attention to detail, and familiarity with annotation tools or platforms. A high school diploma or equivalent is usually sufficient, though some positions may prefer experience with data labeling, machine learning concepts, or specific software. Strong communication skills and the ability to work independently are also beneficial.

What are some common challenges faced in Data Annotation Research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

Does data annotation actually pay?

Data annotation research jobs typically pay hourly or per task rates, with wages ranging from minimum wage to higher rates depending on experience and complexity of the work. Many positions are freelance or remote, requiring basic skills in data labeling tools and attention to detail. Payment is generally reliable, but rates vary by employer and project.

How hard is it to get hired by data annotation?

Getting hired for a data annotation research role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible for those with the right skills and reliability.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs require attention to detail and often use tools like labeling platforms or software, making them a legitimate employment opportunity in the tech industry.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

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

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.
What are popular job titles related to Data Annotation Research jobs in Missouri? For Data Annotation Research jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Annotation Research jobs in Missouri look for? The top searched job categories for Data Annotation Research jobs in Missouri are:
Data Annotation Research jobs near you
Infographic showing various Data Annotation Research job openings in Missouri as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Bioinformatics Specialist

Bioinformatics Specialist

Stowers Institute for Medical Research

Kansas City, MO • On-site

Other

Posted 24 days ago

Job description

The Stowers Institute for Medical Research has an opening for a Bioinformatics Specialist to assist the Computational Biology core facility with biological data processing and analysis. The Bioinformatics Specialist will use computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput sequencing experiments. We are seeking an intellectually curious and motivated individual who will thrive in a collaborative, biology-driven team environment. The primary focus of this position will be on developing and maintaining analysis infrastructure (pipelines, tools, and genome annotation resources) that support the institute's diverse research programs. There will also be an opportunity to work directly with researchers on collaborative data analysis projects.


Key Responsibilities:

  • Develop and maintain robust, scalable pipelines for multiple sequencing platforms (Illumina, PacBio, Oxford Nanopore, etc.)
  • Troubleshoot and manually process data for custom protocols or pipeline failures.
  • Collaborate with IT and high performance computing team to develop or optimize pipelines
  • Use R and Python for high-throughput genomic data analysis and visualization
  • Follow group best practices to maintain reproducibility and organize results


Minimum Requirements:

  • Undergraduate or Masters degree in Computer Science , Bioinformatics, Computational Biology, or a related computationally oriented discipline
  • Proficiency with one or more scripting languages (including Python)
  • Experience working in a Unix/Linux environment
  • Basic understanding and interest in Biology


Preferred Skills:

  • Experience with R, Bioconductor, Shiny, and Nextflow
  • Experience with cluster computing (Especially slurm)
  • Experience writing computational pipelines


The ideal candidate will have strong problem solving abilities, excellent communication and organization skills, good attention to detail, and the ability to manage multiple projects effectively. Software engineers and trained computer scientists with relevant skills and interest in biology are encouraged to apply.


Application Instructions: To apply, please submit the requested documents to careers@stowers.org or to Administration Department, Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64110.


Requested Documents

  • Current Resume
  • Cover Letter

Apply