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Part Time Takeoff Estimator Jobs (NOW HIRING)

Cost Engineer

White Plains, NY ยท On-site

$110K - $120K/yr

... cost estimates for change orders including quantity takeoff, pricing, verification of vendor ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Cost Engineer

White Plains, NY ยท On-site

$110K - $120K/yr

Lead the development of independent cost estimates for change orders including quantity takeoff ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Showing results 21-29

Part Time Takeoff Estimator information

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$31K

$73.3K

$127K

How much do part time takeoff estimator jobs pay per year?

As of Sep 9, 2026, the average yearly pay for part time takeoff estimator in the United States is $73,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $86,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Takeoff Estimator vs Part Time Cost Estimator?

AspectPart Time Takeoff EstimatorPart Time Cost Estimator
CredentialsEstimating certifications, construction knowledgeEstimating certifications, financial understanding
Work EnvironmentConstruction sites, officesOffices, project management settings
Industry UsageConstruction, remodelingConstruction, project planning
Primary FocusQuantifying materials and labor for bidsCalculating overall project costs and budgets

While both roles involve estimating within the construction industry, the Part Time Takeoff Estimator primarily focuses on quantifying materials and labor for bids, whereas the Part Time Cost Estimator concentrates on overall project costs and budgeting. Understanding these differences helps employers and job seekers identify the right role based on skills and career goals.

More about Part Time Takeoff Estimator jobs

What are the most commonly searched types of Takeoff Estimator jobs?

The most popular types of Takeoff Estimator jobs are:

What states have the most Part Time Takeoff Estimator jobs?

States with the most job openings for Part Time Takeoff Estimator jobs include:

What are popular job titles related to Part Time Takeoff Estimator jobs?

For Part Time Takeoff Estimator jobs, the most frequently searched job titles are:

Infographic showing various Part Time Takeoff Estimator job openings in the United States as of September 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $73,275 per year, or $35.2 per hour.

Senior Engineer, State Estimation (R5165)

Washington, DC โ€ข On-site

Shield AI
Software Developmentย โ€ขย 11 - 50 employees

$160K - $240K/yr

Full-time, Part-time

This job post hasย expired 4 days ago.ย Applications are no longer accepted.


Key responsibilities

  • Develop and implement advanced sensor algorithms for processing data from various sensors.

  • Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness.

  • Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios.


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (X-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.  As a State Estimation Engineer, you will work on the GNC team to develop and optimize algorithms that process and fuse data from various sensors to provide accurate, reliable state estimates, enabling the X-BAT to operate autonomously in complex and contested environments. 
WHAT YOU’LL DO:
  • Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors.  
  • Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness. 
  • Design and implement real-time sensor data processing pipelines. 
  • Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms.  
  • Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios.  
  • Stay updated with the latest advancements in sensor technologies and state estimation , applying them to our systems.
REQUIRED QUALIFICATIONS:
  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
  • Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc.  
  • Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc.  
  • Experience with C++ 11 or newer  
  • Experience with Linux, command line tools, etc.  
  • Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders.  
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.  
  • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
  • Ability to obtain a S//SAR level security clearance desired.
PREFERRED QUALIFICATIONS:
  • Experience in implementing inertial navigation algorithms on real-time processing systems  
  • Knowledge of computer vision techniques  
  • Proficiency in optimizing algorithms for compute-constrained systems  
  • Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs)  
  • Proven track record of transitioning from R&D to production
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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.