Research Technician (Nights / Weekends)

Alljoined
San Francisco, CA
On-siteCareer-pivot friendly

Who this role is best for

A natural match if you have hands-on EEG research experience and are comfortable with non-traditional hours.

Best fit for

  • Candidates with 1-2 years of EEG research experience and a focus on data quality.
    — “Have 1–2+ years of hands-on experience independently operating EEG hardware in a research or clinical setting.”
  • Individuals who can manage experimental workflows and maintain participant engagement.
    — “Have strong interpersonal skills and the ability to keep participants calm, focused, and engaged throughout experimental sessions.”
  • Those with credentials in neurodiagnostic or sleep technology and a track record of working evenings or weekends.
    — “Are experienced logging, tracking, and reporting technical events — including hardware faults and environmental interference — that affect data integrity.”

Things to consider

  • On-site presence in San Francisco is required, limiting remote flexibility.
    — “Location: On-site in SoMa, San Francisco”
  • The role requires working nights and weekends, which may affect work-life balance.
    — “Shifts: Weekdays from 4 pm - 9 pm and weekends have flexibility with shifts available from 9 am - 9 pm”

How to stand out

  • Highlight your ability to troubleshoot hardware and software issues in real-time.
    — “troubleshooting software and hardware issues, and handing off clean sessions”
  • Emphasize any experience with electrode placement or impedance management.
    — “familiarity with EEG signal quality work: electrode placement, impedance management”
  • Showcase your communication skills with participants and technical teams.
    — “Have strong interpersonal skills and the ability to keep participants calm, focused, and engaged”
  • Demonstrate your capability to meet data collection throughput targets consistently.
    — “comfortable owning daily and weekly data collection throughput targets”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Collected high-quality neural data
  • Troubleshot hardware issues
Typical background
EEG hardware operationdata collection

Skills & requirements

Required

EEG Hardware OperationData Quality AssuranceParticipant Management

Preferred

Neurodiagnostic CredentialsClinical EEG Experience

Stack & domain

EEG HardwareData QualitySignal QualityImpedance ManagementLine NoiseMovement And Sweat ArtifactBridgingMeticulousInterpersonal SkillsTroubleshootingCustomer-facingR. EEG T.CNIMRpsgtNeurosciencePsychologyCognitive Science

About the role

Original posting from Alljoined via Ashby

ABOUT ALLJOINED

Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives.

We are actively growing our world-class team of researchers to build the next interface to improve individual lives as well as the well-being of society as a whole.

ABOUT THE ROLE

As a Research Technician, you will work directly with research participants running neural data collection sessions with precision and care while ensuring our datasets meet the quality standards required for cutting-edge deep research.

Responsibilities include setting up participants, configuring experiments, monitoring live signal quality, troubleshooting software and hardware issues, and handing off clean sessions and clear communication to the team.

You will work hands-on with hardware and experimental workflows, sitting at the intersection of human interaction and high-throughput data collection - directly enabling the neural decoding breakthroughs our team is pursuing.

Location: On-site in SoMa, San Francisco

Shifts: Weekdays from 4 pm - 9 pm and weekends have flexibility with shifts available from 9 am - 9 pm

YOU MAY BE A GOOD FIT IF YOU

  • Have 1–2+ years of hands-on experience independently operating EEG hardware in a research or clinical setting.
  • Are meticulous about data quality and comfortable owning daily and weekly data collection throughput targets.
  • Have strong interpersonal skills and the ability to keep participants calm, focused, and engaged throughout experimental sessions.
  • Are experienced logging, tracking, and reporting technical events — including hardware faults and environmental interference — that affect data integrity.
  • Can troubleshoot workflow bottlenecks independently and implement corrective actions quickly, even under time pressure.

STRONG CANDIDATES MAY HAVE

  • A neurodiagnostic or sleep technology credential — R. EEG T., CNIM, RPSGT. Clinical EEG or PSG experience transfers here directly
  • Familiarity with EEG signal quality work: electrode placement, impedance management, line noise, movement and sweat artifact, bridging.
  • A track record of working evenings, nights or weekends reliably.
  • Experience owning participant recruitment, scheduling, and no-show follow-up.
  • A degree in Neuroscience, Psychology, Cognitive Science or a related field.
  • Customer-facing or service work.

COMPENSATION

  • $25 per hour

Source: Alljoined careers (Ashby)

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