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Quality Control Engineer (TS/SCI)

Figure Eight Federal (F8F): Leading the Future of AI Training Data


Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world’s biggest brands.  With more than 25 years of industry knowledge, F8F’s technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry.


As F8F strives for excellence in data labeling for Artificial Intelligence and Machine Learning models/capabilities, the Quality Control Engineer is responsible for:


·       Ensuring quantitative and qualitative measures for precision and accuracy in data labeling to standards

·       Ensuring all company- and customer-defined requirements are followed and documented

·       Apply evaluation and testing procedures to data

·       Maintain control records and generate appropriate reports for internal/external use

·       Identify defects and apply root cause analysis

·       Identify and recommend applicable solutions to data defects

·       Clear and concise communication with supervisors for reporting findings

·       Request resources and collaborating on quality improvement initiatives

·       Participate in training/re-training data labelers in achieving quality standards

·       Other duties as assigned


Required Skills:
  • Bachelor's degree in a related field like Statistics, Systems Engineering, Computer Science, or Geography and 3 -5 years of experience in quality control programs -or- HS Diploma or equivalent and 10+ years of experience in lieu of degree
  • Familiarity with Corrective and Preventive Action (CAPA) systems/methods
  • Thorough knowledge of Industry QC Standards
  • Proficient in Data Analysis and quantitative analysis methods
  • Strong communication and interpersonal skills
  • Attention to Detail, initiative in problem-solving, ability to lead quality teams
  • Knowledge, skills, and abilities to command Geographic Information Science and Technology software, spatial analysis tools, and geospatial data management systems.
  • Basic programming skills in Python and/or SQL. 
  • Experience in a GIS-related field and potentially a certification like GISP (Geographic Information Systems Professional) and/or Professional Certification in Quality Control (i.e. Certified Quality Engineer -CQE- from the American Society for Quality -ASQ) and 5+ years of experience
  • US Citizen and an Active TS/SCI


Preferred Skills:
  • Bachelor’s / Master’s degree in Quality Management or Engineering
  • Certified Quality Manager (CQE -ASQ); Certified Six Sigma Black/Green Belt, or other applicable, accredited certifications 


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Quality Control Engineer (TS/SCI), Figure Eight Federal

At Figure Eight Federal (F8F), we’re on a mission to redefine AI training data, and we need a talented Quality Control Engineer (TS/SCI) to join our dynamic team! If you’re passionate about ensuring top-notch quality in data labeling for AI and machine learning, we want to hear from you! As the Quality Control Engineer, you’ll be at the forefront of our operations, overseeing critical processes that guarantee the precision and accuracy of the datasets we provide to some of the world’s leading brands. You’ll dive deep into statistical methods and industry QC standards, ensuring all company and customer requirements are not just met but exceeded. You’ll conduct thorough evaluations of our data, troubleshoot defects through root cause analysis, and collaborate with our incredible team on quality improvement initiatives. With your keen eye for detail and strong communication skills, you’ll train and mentor data labelers to uphold our high standards. Your expertise in Geographic Information Science and Technology, coupled with basic programming skills in Python and SQL, will empower you to lead quality teams effectively. If you have the right blend of experience and a passion for quality control, then join F8F, where your contributions will make a tangible impact in the world of AI!

Frequently Asked Questions (FAQs) for Quality Control Engineer (TS/SCI) Role at Figure Eight Federal
What are the main responsibilities of a Quality Control Engineer at Figure Eight Federal?

As a Quality Control Engineer (TS/SCI) at Figure Eight Federal, your primary responsibilities include ensuring the accuracy and precision of data labeling, applying rigorous evaluation and testing procedures, and maintaining comprehensive records of quality control processes. You will be tasked with identifying defects, conducting root cause analyses, and communicating findings effectively with your supervisors. Additionally, you’ll be involved in training data labelers, fostering a commitment to quality throughout the organization, while also suggesting improvements and solutions to enhance data integrity.

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What qualifications are needed to apply for the Quality Control Engineer position at Figure Eight Federal?

Applications for the Quality Control Engineer (TS/SCI) position at Figure Eight Federal should ideally include a Bachelor's degree in a related field like Statistics, Systems Engineering, or Computer Science, along with 3-5 years of experience in quality control. Alternatively, applicants with a high school diploma and 10+ years of relevant experience may also qualify. Familiarity with Corrective and Preventive Action (CAPA) systems, industry QC standards, and basic programming skills in Python or SQL are essential for success in this role.

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How does Figure Eight Federal ensure data quality and accuracy?

Figure Eight Federal employs a comprehensive approach to guarantee data quality and accuracy. This includes utilizing quantitative and qualitative measures during the data labeling process, conducting regular evaluations, and meticulously maintaining control records. Quality Control Engineers play a pivotal role by applying industry standards, carrying out root cause analyses when defects are identified, and collaborating with teams to implement corrective actions. By prioritizing thorough training and continuous improvement initiatives, F8F upholds its reputation for delivering reliable datasets.

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What skills are essential for success as a Quality Control Engineer at Figure Eight Federal?

Success as a Quality Control Engineer (TS/SCI) at Figure Eight Federal hinges on a blend of technical and interpersonal skills. Candidates should possess strong analytical and quantitative analysis abilities, with a thorough understanding of industry quality control standards. Attention to detail, initiative in problem-solving, and the capacity to lead and mentor quality teams are crucial. Additionally, communication skills are vital for effectively reporting findings and collaborating on improvement strategies.

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Is prior experience in GIS necessary for the Quality Control Engineer role at Figure Eight Federal?

While prior experience in Geographic Information Systems (GIS) is beneficial, it is not explicitly required for the Quality Control Engineer (TS/SCI) role at Figure Eight Federal. However, familiarity with GIS principles and data management can significantly enhance your ability to fulfill job responsibilities effectively, especially as the company works extensively with spatial analysis tools and geospatial data. Certifications related to GIS or quality control will also bolster your application.

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Common Interview Questions for Quality Control Engineer (TS/SCI)
Can you explain your experience with quality control processes?

In answering this question, discuss specific quality control processes you have implemented or managed. Highlight any relevant methodologies such as statistical process control or CAPA systems you’ve used, and include examples of how these methods improved product quality or efficiency.

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How do you handle identifying defects in data?

When discussing this, outline your systematic approach to identifying defects. Mention tools, techniques, or methodologies you employ for data evaluation, and share examples from previous roles where your interventions successfully rectified quality issues.

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Describe a successful quality improvement initiative you have led.

To respond effectively, briefly narrate the context of the initiative, the steps you took to implement changes, and the measurable outcomes of that initiative. This could be in terms of reduced errors, enhanced accuracy, or increased productivity.

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What methodologies do you use for root cause analysis?

When answering, refer to specific methodologies like the Five Whys, Fishbone Diagram, or Fault Tree Analysis. Explain how you apply these techniques to discover underlying issues and how they have led to successful problem resolution in your past roles.

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What programming languages are you proficient in, and how have you applied them in quality control?

Discuss your proficiency with programming languages, particularly Python or SQL, outlining any specific projects or tasks where you utilized these skills to enhance data analysis or streamline quality control processes.

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How do you prioritize tasks when handling multiple quality control projects?

Express your organizational strategy and tools you use to prioritize tasks effectively. Mention your ability to assess urgency and importance, allocate resources where they’re needed most, and ensure compliance with quality standards.

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How do you stay updated on industry QC standards?

Discuss the resources you regularly consult such as industry publications, professional networks, webinars, or training programs. Highlight specific instances where updates on standards have influenced your quality control practices.

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Can you provide an example of how you trained a team member in quality control standards?

Share a specific instance where you successfully trained a colleague or a group. Talk about your training methods, materials used, and the outcomes of that training in terms of improved performance or quality outputs.

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What do you believe is the most important quality control metric?

In your answer, consider discussing a few vital quality control metrics such as defect rates, first-pass yield, or process capability indices. Justify your choice by explaining its significance in overall quality assurance.

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How would you approach developing a quality control plan for a new project?

Detail your strategy for creating a quality control plan, from initial risk assessment and stakeholder consultation through to defining quality benchmarks and metrics for monitoring. Emphasize collaboration with teams across departments.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 16, 2025

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