airport lounge cleaner

cabin supervisor (overnight) Jobs in San Francisco

cabin supervisor (overnight)

coffee dining hall attendant 3am to 10am Jobs in San Francisco

coffee dining hall attendant 3am to 10am

connect client sales representative Jobs in San Francisco

connect client sales representative

customer experience representative at san francisco airport Jobs in San Francisco

cabin service agent

Alliance Ground International

<div><p><b>Job Description:</b></p><p></p><p>
Job Description:</p><p>
As a Cabin Services Agent, you will play a crucial role in ensuring that the aircraft cabin is prepared for flights efficiently and safely, paying meticulous attention to every detail. Your responsibilities will include maintaining the cleanliness and readiness of the cabin, restocking supplies, and performing essential security checks.</p><p></p><p>
Alliance Ground International is a cargo and aviation services company operating in over 50 cities across North America, with a 45-year legacy in aviation. Our strong reputation in cargo, ground services, and hospitality forms the bedrock of our success. As we continue to expand, we seek the industry's finest talents, where the sky is the limit.</p><p></p><p>
Job Responsibilities:</p><ul><li>
Conduct thorough security searches on assigned aircraft.</li><li>
Remove trash and debris from seats, seat pockets, and ensure seat belts are properly arranged.</li><li>
Replenish in-flight magazines, safety cards, and personal sickness bags.</li><li>
Clean and sanitize aircraft galleys and lavatories, restocking supplies as needed.</li><li>
Empty lavatory tanks and refill as required.</li></ul><p></p><p>
Qualifications:</p><ul><li>
Minimum age of 18 and possession of a high school diploma, GED, or equivalent work experience.</li><li>
Successful completion of a drug screening and the ability to obtain airport security clearance, which includes a comprehensive 10-year employment, criminal record, and residence background check.</li></ul><p></p><p>
Physical Requirements:</p><ul><li>
Ability to lift up to 30 pounds (14 kg) on a regular basis.</li><li>
Frequent standing, lifting, bending, pushing, and pulling, often for extended periods.</li><li>
Comfort working in environments with jet and machinery noise.</li></ul><p></p><p>
Schedule:</p><p>
Alliance Ground International operates twenty-four hours a day, seven days a week. AGI requires its employees to be able to work flexible schedules which may be adjusted to meet operational demands such as flight delays or cancellations. Applicants must be able to work on weekends, (Friday, Saturday, and Sunday) and holidays. Strict adherence to company attendance policies is expected and enforced.</p><p></p><p>
Benefits:</p><p>
We provide competitive wages, comprehensive training and career advancement opportunities, as well as a full benefit plan.</p><p></p>
22.04<p></p><p>
Alliance Ground International is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. AGI is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national, origin, sexual orientation, age, citizenship, marital status, disability or veteran status.</p></div>

Cabin Service Agent

Giga

<div>
 <strong>
  About Giga
  <br/>
  <br/>
 </strong>
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 <br/>
 <br/>
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 <br/>
 <br/>
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 <br/>
 <br/>
 <ul>
  <li>
   Voice AI startup Giga raises $61M Series A
  </li>
  <li>
   DoorDash and Giga Partnership
   <br/>
   <br/>
  </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 <br/>
 <br/>
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 <br/>
 <br/>
 <strong>
  What You'll Work On
  <br/>
  <br/>
 </strong>
 You'll contribute to projects across our stack. Some examples:
 <br/>
 <br/>
 <ul>
  <li>
   Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
  </li>
  <li>
   Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
  </li>
  <li>
   Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
  </li>
  <li>
   Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
   <br/>
   <br/>
  </li>
 </ul>
 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 <br/>
 <br/>
 <strong>
  You Might Be a Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Are graduating (or recently graduated) with a CS degree or equivalent background
  </li>
  <li>
   Have internship experience or significant projects where you wrote production-quality code
  </li>
  <li>
   Can take a problem, figure out an approach, and unblock yourself when you get stuck
  </li>
  <li>
   Prefer shipping over perfection but still care about quality
  </li>
  <li>
   Want to work at a startup where you'll have real responsibility early
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Catered lunch daily
  </li>
  <li>
   Dinner stipend
  </li>
  <li>
   $150/month wellness benefit (gym, fitness classes, mental health)
  </li>
  <li>
   401(k) plan
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   Medical, dental, and vision coverage
   <br/>
   <br/>
  </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 <br/>
 <br/>
 Compensation Range: $160K - $250K
 <br/>
 <br/>
</div>


Software Engineer (New Grads)

Allied Universal

<div><p>Security Officer Patrol Agent</p><h2 class="jobSectionHeader"><b>
Overview</b></h2><p>
Allied Universal&reg;, North America's leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace, you will be part of a team that contributes to a culture that positively impacts the communities and customers we serve.
</p><h2 class="jobSectionHeader"><b>Job Description</b></h2><p><br>
As a <b>Security Officer Patrol Agent</b> in <b>San Francisco, CA</b>, you will serve and safeguard clients in a range of industries such as Commercial Real Estate, and more. Join Allied Universal as an Unarmed Patrol Officer in a commercial real estate location, where you will monitor and patrol assigned areas, remain visible to help reduce security-related incidents, and deliver outstanding customer service and communication. In this role, you will support a caring, team-focused culture built on agility, reliability, innovation, and integrity while helping create a welcoming environment for tenants, visitors, and staff.
</p><p><b>Position Type: Full Time</b>
</p><p><b>Pay Rate: $29.00 / Hour
</b></p><p><b>Job Schedule:</b>
</p>DayTimeMon06:30 AM - 03:00 PMTue06:30 AM - 03:00 PMWed06:30 AM - 03:00 PMThur06:30 AM - 03:00 PMFri06:30 AM - 03:00 PM<p><b>
What You'll Do:</b>
</p><ul><li>Provide customer service to tenants, visitors, and property staff by carrying out security-related procedures, site-specific policies, and/or emergency response activities appropriate to a commercial real estate location.</li>
<li>Respond to incidents, disturbances, and critical situations in a calm, problem-solving manner, documenting observations and reporting concerns to property management and/or Allied Universal leadership as needed.</li>
<li>Conduct regular and random patrols throughout lobbies, common areas, parking areas, and perimeter locations to help to deter unauthorized activity and/or unusual behavior.</li>
<li>Monitor access points, visitor activity, and building conditions, assisting with entry procedures, direction, and other property-related requests in a professional manner.</li>
<li>Support daily operations at the location by reporting maintenance concerns, hazards, and/or policy violations, while maintaining visible presence and strong communication with occupants and responders.</li></ul><p><b>
Minimum Requirements:</b>
</p><ul><li>Have at least 1 year of security-related experience.</li>
<li>Be at least 21 years of age.</li>
<li>Access control and/or badge experience is preferred.</li>
<li>Be comfortable using a computer and/or tablet, preferred.</li>
<li>A guard card and/or license is preferred.</li>
<li>Be at least 18 years of age for unarmed roles; 21+ years of age for armed roles.</li>
<li>Possess a high school diploma or equivalent.</li>
<li>As a condition of employment, applicants will be subject to a background investigation in accordance with all federal, state, and local laws.</li>
<li>Allied Universal will consider qualified applications with criminal histories in a manner consistent with applicable laws.</li>
<li>As a condition of employment, applicants will be subject to a drug screen to the extent permitted by law.</li>
<li>Licensing requirements are subject to state and/or local laws and regulations and may be required prior to employment.</li>
<li>A valid driver's license will be required for driving positions only.</li></ul><p><b>
Why Join Us:</b>
</p><ul><li><b>Smart Tools:</b> Access to our exclusive technology to view and claim additional shifts to earn more.</li>
<li><b>Career Growth:</b> Get paid training and access to career growth opportunities.</li>
<li><b>Financial and Health Benefits:</b> Enjoy access to a retirement savings plan, plus medical, dental, vision, basic life and AD&amp;D, and disability insurance.</li>
<li><b>Exclusive Perks:</b> Enjoy discounts on top brands and services through our Perks Program.</li></ul><h2 class="jobSectionHeader"><b><br>
Closing</b></h2><p><b>
Allied Universal&reg; is an Equal Opportunity Employer.</b> All qualified applicants will receive consideration for employment without regard to race/ethnicity, age, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, protected veteran status or relationship/association with a protected veteran, or any other basis or characteristic protected by law. For more information: www.aus.com.
</p><p>If you have difficulty using the online system and require an alternate method to apply or require an accommodation, please contact our local Human Resources department. To find an office near you, please visit: www.aus.com/offices.
</p><h2 class="jobSectionHeader"><b>Requisition ID</b></h2><br>
2026-1586574</div>

Security Officer Patrol Agent

Hex Technologies

SF or NYC
<br>About the role
<br><br>
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
<br><br>
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
<br><br>
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
<br><br>
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
<br><br>
Building features and experiences from 0 to 1
<br>Partnering on determining the architecture and stack for our AI-enabled capabilities
<br>Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
<br>Working at the cutting edge of production AI applications
<br><br>
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
<br><br>
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
<br><br>
<b>We'd love to hear from you if you have:</b><br>
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
<br>A lot of enthusiasm for applications of AI to real business problems.
<br>Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
<br>Ideal candidates are strong on Infra aspects of MLOps as well.
<br>You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
<br>Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
<br>Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
<br>Experience maintaining a high quality bar for design, correctness, and testing.
<br>Our stack
<br><br>
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
<br><br>
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
<br><br>
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
<br><br>
<b>The salary range for this role is:</b> $214,000 - $285,000
<br><br>
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
<br><br>
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
<br><br>
About Hex
<br><br>
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
<br><br>
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

UNIQLO

<div><h1 class="jobSectionHeader"><b>Salary: $24.50 / hour
</b></h1><div><p><b>San Francisco, CA
</b></p></div><p></p><h2 class="jobSectionHeader"><b>We offer competitive compensation for </b><b>Loss Prevention Agent position </b><b>starting at </b><b>$24.50 / hour </b><b>along with a clear path to promotion opportunities every 3 months based on individual performance!
</b></h2><p></p><h2 class="jobSectionHeader"><b>Career advancement opportunities for driven team members who consistently deliver strong results.
</b></h2><p></p><p><b>Benefits:
</b></p><ul><li><p>Vacation &amp; Personal Time Off
</p></li><li><p>Sick &amp; Wellness Time Off
</p></li><li><p>30% Employee Merchandise Discount
</p></li><li><p>Medical, dental, and vision coverage
</p></li><li><p>401k plan - 100% match on the first 3% you contribute, 50% on the next 2% you contribute
</p></li><li><p>Paid parental leave
</p></li><li><p>Fertility benefits, including IVF
</p></li><li><p>Life insurance
</p></li><li><p>Short-term and long-term disability insurance
</p></li><li><p>HSA/FSA options
</p></li><li><p>Employee Assistance Program
</p></li><li><p>Commuter benefits
</p></li><li><p>.... and more!
</p></li></ul><p></p><p><b>Position Overview:
</b><br>
UNIQLO Loss Prevention is responsible for maintaining a safe shopping environment for all customers and employees. The Loss Prevention Agent plays a critical role in inventory management and shortage reduction. Daily LP tasks at store are focused on safety, inventory management and shortage reduction. Loss Prevention Agent will be reporting to Loss Prevention Manager and Store Manager, serve as an asset for protection and safety specialist of our stores.
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li><p>Train store team members on loss prevention and safety policies, procedures and standards: ensure compliance from all store team, notifying store management/Loss Prevention Manager of any violations.
</p></li><li><p>Ensure LP team can successfully identify, apprehend and detain shoplifters by following company guidelines.
</p></li><li><p>Build productive relationships with store leadership team and associates.
</p></li><li><p>Lead associate awareness efforts and generate leads pertaining to internal investigations.
</p></li><li><p>Focus on importance of proper inventory management. Investigate issues and educate team on proper procedures.
</p></li><li><p>Ensure compliance and understanding of the shortage reduction strategies.
</p></li><li><p>Work with Leadership to strengthen LP culture
</p></li><li><p>Partner with LP Manager to ensure compliance of company policy and procedure.
</p></li><li><p>Inspect compliance to company safety policy and procedures through store visits and provide direction and training to ensure opportunities are identified and corrected.
</p></li><li><p>Identify safety or loss risks, immediately notifying store and loss prevention management to prevent accidents.
</p></li><li><p>Support loss prevention management with audits and inventory counts.
</p></li><li><p>Ensure full confidentiality at all times.
</p></li><li><p>Assist with special projects, as assigned.
</p></li></ul><p></p><p><b>Qualifications:
</b></p><ul><li><p>Strong knowledge of computer applications; including Security Software, CCTV equipment, Excel, Word, and PowerPoint
</p></li><li><p>Strong verbal and written communication skills
</p></li><li><p>Knowledge of federal, state and local law
</p></li><li><p>Knowledge of surveillance/security equipment and installations
</p></li><li><p>Ability to travel to stores within assigned area
</p></li><li><p>Must be able to work for extended periods of standing or walking the sales floor as required
</p></li></ul><p></p><p><b>Physical Requirements:
</b></p><ul><li><p>Ability to effectively communicate with customers and store personnel
</p></li><li><p>Ability to calculate figures and amounts such as discounts and percentages
</p></li><li><p>Ability to lift and carry up to 50 lbs.
</p></li><li><p>Ability to stand for long periods of time, read computer terminals, push, pull or move objects of at least 50lbs.
</p></li><li><p>Ability to effectively maneuver around sales floor and stockroom, repetitive bending, prolonged standing, twisting, stooping, squatting, and climbing
</p></li></ul><p></p><p><b>Full-Time Availability Requirements:
</b></p><ul><li><p>Ability to work a flexible schedule that meets the business needs, including nights, evenings and weekends
</p></li></ul><p></p><p><b>NOTICE FOR CALIFORNIA JOB APPLICANTS AND EMPLOYEES
</b></p><p>For information regarding how we handle your personal information and to exercise your rights under the California Consumer Privacy Act, please see our Privacy Policy at Uniqlo.com.
</p><p></p><p>The Company is committed to equal pay initiatives and will not ask candidates for their current or past salary.
</p><p></p><p>As an Equal Opportunity Employer, Fast Retailing does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state or local law.</p></div>

UNIQLO Loss Prevention Agent - Market Street

Uber

<div><b>About the Role</b>
<br>
<br>
The Global Community Operations organization provides support to Uber customers and various partners. As autonomous vehicles (AVs) become an increasingly important part of our offering, we are seeking a highly motivated and detail-oriented Senior Strategic Planning Associate to help manage the operational rhythm and planning efforts for AV Support. This role will be critical in leading key planning cadences, driving workforce and financial tracking, and informing agent strategy decisions.
<br>
<br>
You will partner closely with cross-functional stakeholders across Finance, Operations, Product, and Community Operations to build scalable mechanisms that guide investments, headcount strategy, and performance tracking across AV Support verticals including Rider/Eater Support, Remote Vehicle Assistance, and Field Support Operations.
<br>
<br>
This role sits at the intersection of financial rigor and strategic judgment - you will build and defend the operating plan, own headcount and budget forecasting, and advise on how our support network should evolve. This is not a traditional FP&amp;A role, the right candidate brings strong financial foundations alongside the ability to form and influence business strategy.
<br>
<br>
<b>What You Will Do<br>
</b><br>
<br>
<ul><li><b>Lead Strategic Planning Cadences:</b> Act as the point of contact for AV Support's mid-year and annual planning cycles, owning financial and operational components such as headcount forecasts, OKRs, and investment asks. Lead ad hoc strategic investment decisions to inform high-impact decisions in a rapidly evolving space
</li><li><b>Workforce and Budget Management: </b>Own headcount planning and forecasting across Mobility CX, Delivery CX, Remote Assistance, and Field Support Ops. Track actuals vs plan and proactively flag risks and actionable recommendations. Develop cost models across support functions, including labor, vendor spend, and infrastructure investments.
</li><li><b>Lead Agent Network Strategy: </b>Manage our network strategy - leading initiatives focused on agent footprint strategy, channel mix, automation, and enablement priorities across key functions. Build our long-term roadmap, ensuring alignment between our network strategy and evolving AV operational needs.
</li><li><b>Define Performance Targets &amp; Enable Decisions:</b> Set targets and measure performance across key support metrics - ensuring robust, defensible planning assumptions and methodologies. Build executive-ready narratives translating operational plans into clear business insights.
</li><li><b>Partner Cross-Functionally:</b> Collaborate with Finance, Ops, and CommOps to align on headcount, budget, and operational strategy.<br>
</li></ul><br>
<br>
<b>Basic Qualifications<br>
</b><br>
<br>
<ul><li>5+ years of experience in strategic finance, FP&amp;A, investment banking, corporate strategy, or management consulting
</li>Bachelor's degree<br>
<li>
</li></ul><br>
<br>
<b>Preferred Qualifications<br>
</b><br>
<br>
<ul><li>High proficiency in Excel/Google Sheets and ability to work with large data sets
</li><li>Strong track record in customer experience strategy or sales
</li><li>Experience with financial and headcount planning, preferably in a support operations or tech environment
</li><li>Proven experience in working with diverse set of functions and stakeholders in complex organizational settings
</li><li>Strong analytical and organizational skills with experience managing planning or reporting processes
</li><li>Excellent communication and stakeholder management capabilities
</li><li>Strong critical thinking skills with the ability to use data to develop strategies and make decisions quickly
</li><li>Prior exposure to autonomous vehicle programs or similar high-innovation spaces
</li><li>Strong communication and presentation skills, including experience presenting data &amp; insights to senior audiences
</li>SQL proficiency is a plus<br>
<li>
</li></ul><br>
<br>
<br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year. For New York, NY-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Program Lead, AV Support Strategic Planning

Lawrence Berkeley National Laboratory

<div><div>The Earth and Environmental Sciences Area at Lawrence Berkeley National Laboratory (LBNL) seeks a postdoctoral researcher to develop and curate unique and cutting-edge AI-ready data for the U.S. Department of Energy&rsquo;s ESS-DIVE repository.</div><div></div><div><br>
The DOE Biological and Environmental Research (BER) program produces uniquely valuable datasets increasingly used in AI/ML, but many are not AI-ready due to inconsistent formatting, missing metadata, or incompatible file types.</div><div></div><div><br>
The selected candidate will join an interdisciplinary team to improve and expand upon how DOE environmental data is prepared for AI to further our understanding of Earth system processes and to enable environmental management. This includes working with ESS-DIVE users and the broader community to create machine-readable data products and develop tools and guidance for contributors.</div><div>
The successful candidate will:</div><div></div><ul><li><div><br>
Develop practical guidance for what &ldquo;AI-ready data&rdquo; should include that extends beyond the FAIR (Findable, Accessible, Reusable, Interoperable) principles</div></li><li><div>
Build and extend tools that validate datasets, and check whether they meet AI-readiness requirements.</div></li><li><div>
Help automate dataset preparation using reporting format templates and structured workflows.</div></li><li><div>
Enable translation of legacy DOE data into AI-ready formats, lead creation of example AI-ready benchmark datasets and supporting documentation.</div></li></ul><div></div><div><br>
We&rsquo;re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a KEY supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!</div><div><i><br>
Why join Berkeley Lab?</i></div><div>
We invest in our employees by offering a total rewards package you can count on:</div><ul><li><div>
Exceptional health and retirement benefits, including pension or 401K-style plans</div></li><li><div>
A culture where you&rsquo;ll belong - we are invested in our teams!</div></li><li><div>
In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.</div></li><li><div>
Parental bonding leave (for both mothers and fathers)</div></li></ul><div></div><div><br>
You will:</div><ul><li><div>
Define AI-ready data standards: Establish and maintain guidance on metadata and formatting requirements for DOE environmental datasets.</div></li><li><div>
Build automated checks and tools: Develop LLM-supported methods to assess AI readiness and convert datasets into consistent, usable formats.</div></li><li><div>
Drive training and adoption: Create documentation, tutorials, and outreach to promote AI-ready data practices across the research lifecycle.</div></li><li><div>
Curate benchmark datasets: Select, standardize, and document ESS-DIVE datasets for AI training and validation.</div></li><li><div>
Support automated workflows: Contribute to developing agent-based pipelines that streamline data preparation, validation, and integration.</div></li></ul><div></div><div><br>
We are looking for:</div><ul><li><div>
Ph.D.in environmental science, earth science, informatics, or a closely related field.</div></li><li><div>
Experience working with environmental/scientific datasets (cleaning, processing, analysis, synthesis).</div></li><li><div>
Strong programming skills, especially Python (or comparable scientific programming).</div></li><li><div>
Experience with LLM-assisted or agent-based workflows.</div></li><li><div>
Strong written and oral communication skills, including the ability to explain technical requirements to non-experts.</div></li><li><div>
Demonstrated record of scholarly or technical contributions (e.g., publications, reports, or significant software contributions).</div></li></ul><div></div><div><br>
Desired skills/knowledge:</div><ul><li><div>
Experience with metadata standards, data schemas, or FAIR principles, particularly with data formats commonly used in earth/environmental sciences (e.g., netCDF).</div></li><li><div>
Experience building data pipelines for ingesting and harmonizing data from multiple sources and tracking data provenance.</div></li><li><div>
Familiarity with agentic AI tooling such as Retrieval Augmented Generation (RAG) pipelines, agent skills, and Model Context Protocol (MCP) servers.</div></li><li><div>
Ability/willingness to travel to partner institutions and conferences as needed.</div></li></ul><div></div><div><br>
Material to submit:</div><ul><li><div>
CV and cover letter, including a list of recent publications</div></li><li><div>
Links to any relevant public code repositories if available</div></li></ul><div></div><div><br>
Additional information:</div><ul><li><div>
Application date: Priority consideration will be given to candidates who apply by June 30, 2026. Applications will be accepted until the job posting is removed.</div></li><li><div>
Appointment type: This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.</div></li><li><div>
Salary range: The monthly salary range for this position is $6,573 - $8,921 and is expected to start at $6,573 or above. Postdoc positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D postdoctoral and/or related research experience.</div></li><li><div>
Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</div></li><li><div>
Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information ).</div></li><li><div>
Union Represented: This position is represented by a union for collective bargaining purposes.</div></li></ul><div></div><div><br>
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov</div><div><br>
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.</div><div></div><div><br>
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.</div></div><div></div>

AI-Readiness & Data Automation Postdoctoral Scholar

Explore 211+ Cabin service agent in San Francisco this May. Find roles across top companies and apply now to boost your career.