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Entry Level Data Classification Jobs (NOW HIRING)

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

TEKsystems

Logistics Associate

Santa Clara, CA

$27 - $28/hr

Data Center Logistics & Operations Technician (Entry-Level) Location: Southern San Francisco Bay ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

TEKsystems

Cable Technician

Gallatin, TN

$20 - $22/hr

Entry-Level Data Center Technician We are seeking reliable and motivated individuals who are ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

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Entry Level Data Classification information

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How much do entry level data classification jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for entry level data classification in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Classification Specialist, and why are they important?

To thrive as an Entry Level Data Classification Specialist, you need strong attention to detail, analytical skills, and a basic understanding of data privacy concepts, often supported by a relevant degree or coursework. Familiarity with data management software, spreadsheet tools like Microsoft Excel, and sometimes data labeling platforms is typically required. Being organized, dependable, and having clear communication skills help you excel in this role. These competencies ensure accurate data categorization, compliance with regulations, and efficiency in managing large volumes of information.

What are some common challenges faced in an entry-level data classification role and how can I prepare for them?

In an entry-level data classification role, you may encounter challenges such as handling large volumes of data, ensuring consistency in labeling, and adapting to evolving classification criteria. It's important to develop strong attention to detail and become familiar with the tools and guidelines used by your team. Seeking feedback from experienced colleagues and actively participating in team discussions can help you quickly adapt and maintain accuracy. Over time, you'll gain efficiency and confidence as you learn best practices and become more comfortable with the data sets.

What is the difference between Entry Level Data Classification vs Data Analyst?

AspectEntry Level Data ClassificationData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may prefer certifications in data managementBachelor's degree in data science, statistics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentData management teams, administrative offices, or IT departmentsBusiness environments, analytics teams, or consulting firms
Employer & Industry UsageUsed across industries for organizing data sets, often entry-level roles in data managementUsed in various industries for interpreting data, generating reports, and supporting decision-making

Entry Level Data Classification focuses on organizing and categorizing data, often requiring basic data management skills. Data Analysts analyze data to extract insights, requiring more advanced analytical skills and tools. While both roles work with data, Data Analysts typically have more technical expertise and responsibilities in data interpretation.

What is an Entry Level Data Classification job?

An Entry Level Data Classification job involves organizing and categorizing data according to specific guidelines or criteria. Employees in this role typically review data sets, label information appropriately, and ensure data is stored accurately for easy retrieval or analysis. This work helps companies manage large volumes of information, improve data quality, and support business decision-making. No advanced technical skills are usually required, but attention to detail and basic computer proficiency are important.
What are the most commonly searched types of Data Classification jobs? The most popular types of Data Classification jobs are:
What job categories do people searching Entry Level Data Classification jobs look for? The top searched job categories for Entry Level Data Classification jobs are:
Entry Level Data Classification jobs near you
Infographic showing various Entry Level Data Classification job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Columbia, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.     

A day in the life:
You’ll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you’ll move on to improving a dashboard or other data product that you’re responsible for, or perhaps produce a weekly output the customer is expecting. You’ll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you’ll attend a team meeting (with 4 others) to prioritize things, and you’ll have a lot of interaction with the team otherwise, typically several times per day. You’ll need your sense of humor and need to be willing to leave your ego at the door.     
     
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:     
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.
These are important skills to have, but not necessarily mandatory:     
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React

The total package:
 
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight! 

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