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Data Acquisition Specialist - Full Time Temporary Position

** Immediate openings available

About Affectiva

Affectiva is an MIT Media Lab spin-off and the leading provider of Human Perception AI: software that analyzes facial and vocal expressions to identify complex human emotional and cognitive states. Our vision is that technology needs to be able to sense, adapt and respond to people’s non-verbal signals, mental states, emotions and reactions, just the way humans do. We are humanizing technology!

Our patented AI software uses machine learning, deep learning, computer vision and speech science. Affectiva has built the world’s largest emotion data repository with over 7M faces analyzed in 87 countries. Affectiva is used by one fourth of the Fortune Global 500 for advertising testing and is now working with leading automotive OEMs and Tier 1s on next generation driver state monitoring and in-cabin mood sensing.

As you can imagine, such an ambitious vision takes a great team with a strong desire to explore and innovate. We are growing our team to improve and expand our core technologies and help solve many unique and interesting problems focused around sensing, understanding and adapting to human states. And, in building new products that never existed before, we are disrupting billion dollar industries such a advertising and automotive.

 

The Job

You will be joining the Data Acquisition team in a full-time capacity for a minimum of 3 months, up to 6 months depending on project needs, to help execute data collection protocols. Collections are either in-lab or in a vehicle instrumented with a variety of cameras, audio equipment and other sensors. You will be facilitating successful completion of studies that involve interfacing directly with study participants (scheduling, logistical coordination, meeting and directing participants, verifying and capturing legal waivers and documentation, payouts, etc.) You may be asked to work non-traditional hours and weekends depending on deadlines and study specifics. 

 

About You

You’re a people person with fantastic communication skills and strong attention to details and safety. You have executed or designed detailed data capture protocols during your coursework or professional work. You are interested in working for a bleeding edge AI company that is focused on machine learning to solve complex problems. 

 

Qualifications:

  • Any B.S. in a technology or scientific field (Computer Science, Psychology, Engineering, Biology, etc.) 
  • Current undergrads with 2+ years running or designing academic studies are welcome to apply
  • Valid US Driver's License w/ clean driving record
  • Ability to work night and weekends 
  • Must be over 18 years old

Skills & Technologies:

  • Excellent Communication
  • Can execute on complex protocols and tasks
  • Strong attention to detail
  • Highly organized
  • Can work under tight deadlines
  • Fantastic Time Management Skills
  • Ability to work independently without a lot of direct supervision
  • Fast thinker and problem solver - you wont let minor disruptions slow you down
  • Comfortable using a computer (Linux is a must, some Windows/Mac) and using Camera Equipment
  • Video Editing Software Packages (Adobe, Corel, Pinnacle or similar) is a plus

Nice to have:

  • Scripting in Python or Similar
  • Some familiarity with Computer Vision services like AWS Rekognition API, Google Vision or Similar

Experience:

  • Have run a scientific study or equivalent in a professional or educational setting
  • Routine, positive, “client” facing interactions
  • Some A/V experience will be helpful

Additional Information and Company Benefits:

  • Full Time, Temporary position: Minimum of 3 months, up to 6 months. 
  • Position located in Downtown Boston but work may require travel to outlying neighborhoods/areas. 
  • Casual Startup office culture, collaborative office space
  • Flexible work schedule
  • Complimentary snacks and drinks, and lunch provided once a week

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.

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