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Entry Level Data Labeling Analyst Jobs in Wichita, KS

Ability to perform data entry and required written paperwork accurately and effectively. * Operate ... * Entry Level = 0 Training Points (Job Code 12354) * Level 1 = 25 Training Points (Job Code 12355)

2027 Entry Level - Industrial Engineer

Wichita, KS · On-site

$62K - $84K/yr

ABOUT THE ENTRY LEVEL ROLE As a Textron employee, you'll take on meaningful work from day one ... The Industrial Engineer position comprises a balance of technical expertise in data/metric analysis ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Ability to perform data entry and required written paperwork accurately and effectively. * Operate ... * Entry Level = 0 Training Points (Job Code 12354) * Level 1 = 25 Training Points (Job Code 12355)

... data centers, and logistics. You will work alongside Guidant sister companies in arc flash ... analysis, infrared thermography, and electrical safety training. The Role This is an entry level ...

Night Auditor

Wichita, KS · On-site

$14.75 - $19.75/hr

Growing oil & gas company is hiring an Entry-Level Operations Monitoring Technician to support ... Bachelor's degree in Math, Science, Geology, Engineering, Data Analytics or related technical field

Showing results 21-40

Entry Level Data Labeling Analyst information

See Wichita, KS salary details

$11

$29

$55

How much do entry level data labeling analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level data labeling analyst in Wichita, KS is $29.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $32.88 per hour, depending on experience, location, and employer.

What is an entry level data labeling analyst?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.

What does an entry level data labeling analyst do?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an entry level data labeling analyst?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

What are the most commonly searched types of Data Labeling Analyst jobs in Wichita, KS?

The most popular types of Data Labeling Analyst jobs in Wichita, KS are:

What cities near Wichita, KS are hiring for Entry Level Data Labeling Analyst jobs?

Cities near Wichita, KS with the most Entry Level Data Labeling Analyst job openings:

Infographic showing various Entry Level Data Labeling Analyst job openings in Wichita, KS as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $61,269 per year, or $29.5 per hour.

Accounting and Automation Analyst

Stand Together

Wichita, KS • On-site

$75K - $110K/yr

Full-time

Re-posted 24 days ago


Job description

Stand Together is a philanthropic community that helps America's boldest changemakers tackle the root causes of our country's biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues. We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society.
The Accounting & Automation Analyst supports core accounting operations while actively using AI tools and automation to amplify the team's capacity. This role is ideal for a candidate 1-2 years out of college who brings intellectual curiosity to the close process and sees technology as a force multiplier, not a shortcut. The Analyst will build a strong accounting foundation while helping the team work smarter. This role offers hands-on exposure to month-end close, financial reporting, internal controls, and audit preparation - alongside real ownership of automation initiatives from day one.
Stand Together is open to applicants located in the Washington DC area as well as Wichita, Kansas, for this position.
How You Will Contribute
• AI & Automation
• Use AI tools (e.g., Claude, Copilot) to draft, review, and streamline accounting tasks such as:
  • Prepare and record journal entries with appropriate support and documentation
  • Perform monthly account reconciliations and investigate variances
  • Assist with month-end and year-end close activities
  • Maintain accurate general ledger records in accordance with internal controls

• Identify repetitive workflows and partner with senior team members to automate them
• Document automated processes and maintain clear audit trails
• Reporting & Audit Support
• Assist in preparing internal financial reports and schedules
• Support audit requests by compiling schedules and documentation
• Continuous Improvement
• Identify process gaps and raise improvement ideas to the team
• Participate in testing and adopting new tools or system enhancements
What You Will Bring
• Genuine interest in AI and automation - you've experimented with these tools and see them as force multipliers
• Exposure to or interest in automation tools such as Power Automate, Python, or Excel macros
• Strong attention to detail and commitment to accuracy
• Ability to follow processes, meet deadlines, and document work clearly
Standout Candidates Will Bring
Bachelor's degree in Accounting or Finance, or equivalent coursework OR Information Systems, Computer Information Systems, Management Information Systems, Data Analytics, or a related technical field
• 1-2 years of accounting experience (internships and entry-level roles count)
• Foundational understanding of accounting principles and the general ledger
• Experience with an ERP system (e.g., Sage Intacct, NetSuite, Oracle)
• Experience with Snowflake or other data warehouse/analytics platforms
$75,000 - $110,000 a year
For this role, the anticipated base salary range is $75,000-$110,000 per year. This role may also be eligible for additional bonus compensation designed to align total compensation with an employee's overall contribution to the organization.
Our Principles-Based Management™ (PBM) compensation philosophy is grounded in an individualized approach that rewards the long-term value each person creates for the organization. Compensation decisions are informed by a variety of factors, including relevant experience, capabilities, demonstrated skills, role responsibilities, and expected contribution. Consistent with this approach, base salary may vary within or outside of the anticipated range based on these considerations.
Our Values: Working for an organization within the Stand Together philanthropic community is different from many other places. The culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers employees to be entrepreneurial, to innovate, and to continually drive transformation.
We believe diversity fuels creativity, broadens knowledge, and helps drive success. That is why we're proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, and respect.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.