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artificial intelligence specialist

Bloomberg

<div><div><div><div><div><div>Artificial Intelligence and Venture Capital Editor, San Francisco
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>San Francisco
</div></div><div><div>Business Area
</div><div>News and Media
</div></div><div><div>Ref #
</div><div>10049919
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div><div>Bloomberg News is one of the world&rsquo;s biggest and most influential news organizations. Our Global Technology team closely covers the companies, investors and entrepreneurs that are changing the world. We&rsquo;re seeking a talented, dedicated and creative editor to join our award-winning team in San Francisco to work with reporters covering technology, with a focus on the artificial intelligence, venture capital and startups beat. This role will include helping conceive and carrying out stories on technology topics including (but not limited to) funding and innovation in artificial intelligence, data centers, semiconductors, consumer apps and enterprise tools. We&rsquo;re looking for someone eager to work on breaking news and edit in-depth features on this dynamic and influential beat, balancing frequent fast-paced scoops and analysis with deeper, longer-term stories and projects. This role is for a collaborative, well-rounded editor who knows how to make an impact and help our coverage stand out on one of the fastest-moving, most competitive beats in business journalism.</div><div><br>
Who we&rsquo;re looking for:</div>
<div>
You&rsquo;re a fast, agile editor who is fluent in technology-industry subject matter and terminology and has a working knowledge of the artificial intelligence and venture capital landscapes, Silicon Valley&rsquo;s biggest personalities, and the most important emerging startups. You have the ability to break through the hype and jargon that is endemic to this beat, guiding reporters to tell readers what&rsquo;s really happening in straightforward and clear language. Speed, clarity and accuracy are a must. You&rsquo;re confident and experienced enough to work with some of the newsroom&rsquo;s most skilled reporters to write about the news and its impact, and flexible enough to quickly understand new ideas. You seek to bring new technological, investing and startup trends to light and to inspire conversation through stories from across the beat. This role will be based in our San Francisco office.<br>
<br>
We'll trust you to:</div>
<ul><li>Quickly shape accurate, fair, detailed and captivating coverage, under sometimes tight deadlines</li></ul>
<ul><li>Work closely with reporters to bring the best out of their notebooks</li></ul>
<ul><li>Think beyond simple copy changes to tell powerful narratives that encompass print, visuals, audio and video</li></ul>
<ul><li>Possess an intuitive understanding of our audience across formats and platforms</li></ul>
<ul><li>Collaborate with reporters and editors on the Global Technology team and others across teams and regions</li></ul>
<ul><li>Be committed to the best journalistic practices, sound judgment and a willingness to learn</li></ul><div><br>
You'll need to have:</div>
<ul><li>At least 5 years in a real-time financial journalism newsroom</li></ul>
<ul><li>Deep knowledge of and curiosity about the artificial intelligence, technology startup and VC universe</li></ul>
<ul><li>Technology journalism experience preferred</li></ul>
<ul><li>Strong work ethic, attention to detail, ability to work steadily and calmly under pressure</li></ul></div><br>
<div></div>
</div></div><div><div><div>Salary Range = 90000 - 125000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Artificial Intelligence and Venture Capital Editor, San Francisco

Charles Schwab

<div><h2 class="jobSectionHeader"><b>Your opportunity</b></h2><div><br>
At Schwab, your career is more than a job&mdash;it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.</div><div></div><div><br>
As part of Schwab&rsquo;s AI Strategy &amp; Transformation team (AI.x), you&rsquo;ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.</div><div></div><div><br>
We&rsquo;re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You&rsquo;ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab&rsquo;s strategic goals, and mentor junior team members&mdash;cultivating best engineering practices and a culture of continuous learning.</div><div></div><div><br>
In this pivotal role, you&rsquo;ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You&rsquo;ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.</div><ul><li>
Design, build, and deliver GenAI applications that elevate client experience and generate business impact.</li><li>
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.</li><li>
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.</li><li>
Mentor and coach junior engineers, fostering strong practices and continuous learning.</li><li>
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.</li><li>
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.</li><li>
Advance engineering standards, focusing on operational excellence and quality across all deliverables.</li></ul><h2 class="jobSectionHeader"><b>
What you have</b></h2><div><b><br>
Required Qualifications</b></div><ul><li>
8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.</li><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
5+ years building complex products from scratch, running them in production, and ensuring operational reliability.</li><li>
3+ years building applications leveraging AI models for measurable business impact.</li><li>
3+ years developing applications and data pipelines interfacing with large datasets.</li><li>
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Strong computer science fundamentals and experience across the tech stack.</li><li>
Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.</li><li>
Commitment to quality&mdash;driving high standards and writing tests at all levels.</li><li>
Experience writing and running evaluations for quality and consistency in LLM-generated output.</li><li>
Strong written and verbal communication skills to clearly convey ideas and feedback.</li><li>
Mentoring junior engineers and supporting their technical growth through code reviews and guidance.</li><li>
Mindset of continuous learning and improvement.</li><li>
Ability to solve complex problems with ambiguous or incomplete data in distributed systems.</li><li>
Demonstrated business domain knowledge relevant to previous products.</li><li>
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.</li><li>
Experience with Python and front-end development preferred but not required.</li><li>
Master&rsquo;s or advanced degree in Computer Science or related field.</li></ul><div>
In addition to the salary range, this role is eligible for bonus or incentive opportunities.</div><div><h2 class="jobSectionHeader"><b><br>
What&rsquo;s in it for you</b></h2><p>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.</p><p>
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:</p><ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Sr. AI Engineer, AI.x

Ludo Robotics

<div>
 <strong>
  The Company
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adaptive, and capable of handling real-world scenarios. We believe that data-driven machine learning at massive scale is the key to unlocking these capabilities and enabling the widespread deployment of robots across society.
 <br/>
 <br/>
 We are a new startup headquartered in Bay Area, California, with an office in Seoul, Korea. Our team spans a wide range of backgrounds and experience, from new graduates to seasoned domain experts. What matters most to us is ownership, speed, and intellectual curiosity - people who take responsibility, move fast, and enjoy thinking deeply about hard problems.
 <br/>
 <br/>
 We are supported by a highly advanced AI Center within KRAFTON, a leading global video game company best known for the genre-defining worldwide success PUBG: Battlegrounds. KRAFTON has extensive experience building and operating large-scale, data-rich products, and we have secured investment from them. This gives us strong long-term backing, deep technical partnership opportunities, and access to world-class infrastructure and talent networks as we push robotic intelligence forward.
 <br/>
 <br/>
 We are looking for passionate builders who want to explore uncharted territory, take on difficult problems, and ship ambitious, industry-shaping work. You will collaborate across diverse teams as we bring our technology from research into real-world deployment.
 <br/>
 <br/>
 <strong>
  THE OPPORTUNITY
  <br/>
  <br/>
 </strong>
 As an ML / AI Engineer at Ludo Robotics, you will develop scalable robotics systems that enable robots to operate reliably in the real-world environments. You will work with leading researchers and engineers on state-of-the-art methodologies to design and deploy algorithms and systems that enable robots to interact intelligently and adapt to diverse and complex environments. The ideal candidate has a strong technical background and experience in building practical solutions and driving real impact.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead and contribute to cutting-edge research and engineering problems at the frontier of robotic AI, including approaches and systems that have not been built before.
  </li>
  <li>
   Explore and develop new learning methods, architectures, and training strategies for robots facing unseen scenarios.
  </li>
  <li>
   Turn research ideas into deployed robot behavior, bridging theory and real-world performance.
  </li>
  <li>
   Collaborate with cross-functional teams spanning robotics software, hardware, data, and infrastructure.
  </li>
  <li>
   Influence technical direction and system design in a fast-moving startup environment.
  </li>
  <li>
   Access large-scale data, compute, and modern ML infrastructure to train and evaluate advanced models.
  </li>
  <li>
   Grow through ownership of open-ended problems where solutions are not predefined.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Computer Science, Electrical Engineering, or related field with focus on Deep Learning or Machine Learning
  </li>
  <li>
   Solid understanding of machine learning fundamentals and modern deep learning techniques, with hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  </li>
  <li>
   Strong programming skills, primarily in Python, with experience or willingness to work in C++-based robotics environments.
  </li>
  <li>
   Comfort working on open-ended, ambiguous problems where requirements and solutions evolve and curiosity and readiness to tackle new technical challenges that may not have established best practices.
  </li>
  <li>
   Experience working with real-world data, including noise, edge cases, and imperfect labels.
  </li>
  <li>
   Familiarity with robotics concepts such as perception, control, state estimation, or simulation a plus.
  </li>
  <li>
   Strong problem-solving skills and the ability to reason about complex systems.
  </li>
  <li>
   Ability to collaborate effectively in fast-paced, research-driven environments.
  </li>
  <li>
   Clear communication skills and a strong sense of ownership over outcomes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Reasonable Accommodation
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the Operations Team, to begin the interactive process.
 <br/>
 <br/>
 <strong>
  EEOC Statement
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
 <br/>
 <br/>
 This position may be filled at multiple levels depending on experience, scope, and business need. In California, the expected salary range for this position is $98,000&ndash;$305,000. The listed expected salary ranges represent good faith estimates. Actual compensation may vary based on job-related factors including experience, education, skills, performance, and work location. This position is also eligible for equity compensation and a comprehensive benefits package.
 <br/>
 <br/>
 <strong>
  Don&rsquo;t meet every single requirement?
  <br/>
  <br/>
 </strong>
 Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At LUDO ROBOTICS we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles.
 <br/>
 <br/>
 <strong>
  Due to recent scams, our recruiters will only reach out to you via @ludorobotics.ai, @sds.com, @krafton.com or @pubg.com. If you received an email and are unsure you can always email recruiting_KA@Krafton.com
 </strong>
</div>


ML/AI Engineer

Prolific

<div>
 <ul>
  <li>
   ]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"&gt;
  </li>
  <li>
   ]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"&gt;
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
  <br/>
  <br/>
 </strong>
 <strong>
  About Prolific
  <br/>
  <br/>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  The role
  <br/>
  <br/>
 </em>
 We're looking for
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
 </strong>
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick
 <strong>
  10- to 15-minute test
 </strong>
 to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to
 <strong>
  $150/hr per AI task completed
 </strong>
 . You must be prepared to complete paid tasks that require
 <strong>
  one hour of uninterrupted work
 </strong>
 , though many are shorter.
 <br/>
 <br/>
 What you'll bring
 <br/>
 <br/>
 <ul>
  <li>
   AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
  </li>
  <li>
   A willingness to take our skills verification test to assess your suitability for our participant pool
  </li>
  <li>
   Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  </li>
  <li>
   A reliable and fast internet connection and access to a computer
  </li>
  <li>
   A willingness to self-declare your earnings, as our participants are self-employed
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  What you'll be doing in the role
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
  </li>
  <li>
   Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
  </li>
  <li>
   Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Key Technologies
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   General AI Training
  </li>
  <li>
   Model Evaluation and Evals
  </li>
  <li>
   Trust and Safety
  </li>
  <li>
   Red Teaming
  </li>
  <li>
   Quality Analytics
  </li>
  <li>
   Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Why Prolific is a great platform to join as a Participant
  <br/>
  <br/>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 <br/>
 <br/>
 <em>
  Links to more information on Prolific
  <br/>
  <br/>
 </em>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 Privacy Statement
 <br/>
 <br/>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>


AI Training - Machine Learning Specialist (PST)

HumanSignal

<div>
 <strong>
  The future of AI &mdash; whether in training or evaluation, classical ML or agentic workflows &mdash; starts with high-quality data.
  <br/>
  <br/>
 </strong>
 At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
 <br/>
 <br/>
 Our open-source product,
 <strong>
  Label Studio
 </strong>
 , has become the
 <strong>
  de facto standard
 </strong>
 for labeling and evaluating data across modalities &mdash; from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
 <br/>
 <br/>
 <strong>
  Label Studio Enterprise
 </strong>
 builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines &mdash; powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems &mdash; we'd love to talk.
 <br/>
 <br/>
 <strong>
  About the Role
  <br/>
  <br/>
 </strong>
 We're looking for an ambitious AI Engineer to
 <strong>
  transform how our go-to-market team operates
 </strong>
 . San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.
 <br/>
 <br/>
 As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.
 <br/>
 <br/>
 This is a highly hands-on role for someone who enjoys
 <strong>
  shipping systems, experimenting rapidly, and solving messy real-world problems with software.
  <br/>
  <br/>
 </strong>
 <strong>
  Why This Role Matters
  <br/>
  <br/>
 </strong>
 This role is a force multiplier for the entire company. You'll build the infrastructure that allows the GTM team to
 <strong>
  move faster, learn faster, and scale without proportional headcount.
 </strong>
 You'll help us:
 <br/>
 <br/>
 <ul>
  <li>
   Turn GTM from a set of tools into a cohesive, intelligent system
  </li>
  <li>
   Scale workflows without scaling headcount
  </li>
  <li>
   Improve signal quality and timing for marketing and sales
  </li>
  <li>
   Increase learning velocity across the entire funnel
  </li>
  <li>
   Shape how an open-source, bottom-up product grows into enterprise adoption
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Build &amp; Automate the foundational GTM AI stack
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
  </li>
  <li>
   Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
  </li>
  <li>
   Build internal tools and lightweight services that accelerate GTM teams
  </li>
  <li>
   Replace manual workflows with scalable, automated systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI-Powered Systems &amp; Agents
  <br/>
  <br/>
 </strong>
 Design and deploy
 <strong>
  AI-driven workflows and agents
 </strong>
 that augment GTM teams.
 <br/>
 <br/>
 Examples include:
 <br/>
 <br/>
 <ul>
  <li>
   Lead qualification, inbound lead routing, and enrichment
  </li>
  <li>
   Personalized lifecycle marketing and outbound messaging
  </li>
  <li>
   Sales assist tools for deal intelligence and account research
  </li>
  <li>
   Automated account insights, pipeline analysis, and deal lifecycle management
  </li>
  <li>
   User onboarding, activation, and expansion signals
   <br/>
   <br/>
  </li>
 </ul>
 You'll continuously improve these systems using
 <strong>
  real performance data and feedback loops.
  <br/>
  <br/>
 </strong>
 <strong>
  Growth: PLG + Sales-Assisted Motion
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
  </li>
  <li>
   Partner with Data &amp; Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
  </li>
  <li>
   Partner closely with Product &amp; Marketing to turn usage insights into GTM leverage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimentation &amp; Learning
  <br/>
  <br/>
 </strong>
 Build the infrastructure that allows the GTM team to
 <strong>
  learn quickly and iterate with confidence.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and run experiments across acquisition, activation, conversion, and expansion
  </li>
  <li>
   Build experimentation frameworks (feature flags, A/B testing, measurement systems)
  </li>
  <li>
   Instrument systems to capture reliable data and insights
  </li>
  <li>
   Rapidly iterate based on results, not assumptions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Feedback Loops &amp; Continuous Improvement
  <br/>
  <br/>
 </strong>
 Create tight feedback loops between users, product signals, and GTM actions.
 <br/>
 <br/>
 <ul>
  <li>
   Partner with head of , accessible, and actionable across teams
  </li>
  <li>
   Turn qualitative and quantitative insights into system improvements
  </li>
  <li>
   Continuously optimize workflows, models, and automation based on real outcomes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 <strong>
  Core Skills
  <br/>
  <br/>
 </strong>
 This is fundamentally an
 <strong>
  engineering role
 </strong>
 , not traditional GTM operations. We're looking for someone who enjoys
 <strong>
  building systems, not managing tools.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong engineering background (software, data, or growth engineering)
  </li>
  <li>
   Comfortable shipping production code (APIs, services, scripts, internal tools)
  </li>
  <li>
   Experience working with data pipelines, analytics, and experimentation frameworks
  </li>
  <li>
   Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to work cross-functionally with Product, Engineering, Marketing and Sales
  </li>
  <li>
   Comfortable operating with ambiguity and defining the problem as you go
  </li>
  <li>
   Strong communicator who can translate between technical and GTM stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with open-source or developer-focused products
  </li>
  <li>
   Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
  </li>
  <li>
   Experience building internal tools for sales or marketing teams
  </li>
  <li>
   Prior work in B2B SaaS, data, or AI-first companies
  </li>
 </ul>
</div>


AI Engineer (GTM)

MERCOR

<div><p><b>About the job</b></p><p><b>
Mercor</b> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <b>Benchmark</b>, <b>General Catalyst</b>, <b>Peter Thiel</b>, <b>Adam D'Angelo</b>, <b>Larry Summers</b>, and <b>Jack Dorsey</b>.</p><p><b>
Position:</b> Software Engineer<br>
<b>Type:</b> <b>Freelance</b><br>
<b>Compensation:</b> <b>$50&ndash;$150/hour</b><br>
<b>Duration:</b> <b>1&ndash;2 months</b><br>
<b>Commitment:</b> <b>15&ndash;25 hours/week, with flexibility up to 40 hours/week</b></p><p><b>
Role Responsibilities</b></p><ul><li>
Review and refine <b>AI-generated prompts</b>, responses, and code.</li><li>
Validate algorithms and software concepts for <b>technical accuracy</b>.</li><li>
Provide structured feedback on solution quality and clarity.</li><li>
Tag and organize content by topic, difficulty, or language.</li><li>
Support benchmarking efforts to assess <b>model capabilities</b>.</li><li>
Work <b>independently and asynchronously</b> to meet deadlines while improving <b>AI model performance</b>.</li></ul><p><b>
Qualifications</b></p><p><b>
Must-Have</b></p><ul><li><b>
2+ years</b> of experience in <b>software engineering</b>, technical research, or educational content development.</li><li><b>
Bachelor's degree</b> in <b>Software Engineering</b>, <b>Computer Science</b>, or a related field.</li><li>
Strong proficiency in languages like <b>Python</b>, <b>JavaScript</b>, <b>Java</b>, or <b>C++</b>.</li><li>
Experience with debugging, testing, and validating code.</li><li>
Comfortable with technical writing and attention to detail.</li></ul><p><b>
Start Date</b></p><ul><li><b>
Immediate</b></li></ul><p><b>
Application Process (Takes 20&ndash;30 mins to complete)</b></p><ul><li>
Upload resume</li><li>
AI interview: A short, <b>15-minute</b> conversational session to understand your background, experience, and interest in the role</li><li>
Follow-up communication within a few days with next steps and onboarding details</li></ul><p><b>
Resources &amp; Support</b></p><ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul><p><i>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</i></p></div>

Software Engineer – AI Specialist

<div><p><b>About the job</b></p><p><b>
Mercor</b> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <b>Benchmark</b>, <b>General Catalyst</b>, <b>Peter Thiel</b>, <b>Adam D'Angelo</b>, <b>Larry Summers</b>, and <b>Jack Dorsey</b>.</p><p><b>
Position:</b> Software Engineer<br>
<b>Type:</b> <b>Full-time</b><br>
<b>Compensation:</b> <b>$80&ndash;$110/hour</b><br>
<b>Location:</b> <b>Remote</b>
</p><p><b>Role Responsibilities</b></p><ul><li>
Develop and enhance <b>AI-powered interviewing tools</b> and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using <b>React</b> and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, <b>AI transcription/summarization</b>, and automation workflows.</li><li>
Collaborate with <b>AI/ML teams</b> to integrate <b>GPT-4o</b> and other <b>AI technologies</b> for interview feedback automation and quality improvements.</li><li>
Leverage <b>AI-powered development tools</b> including <b>Cursor</b>, <b>Claude Code</b>, and <b>Devmate</b> to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul><p><b>
Qualifications</b></p><p><b>
Must-Have</b></p><ul><li><b>
Bachelor's degree</b> in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li><b>
4+ years</b> of software engineering experience with object-oriented programming languages such as <b>Java</b>, <b>C++</b>, or <b>C#</b>.</li><li>
Experience with scripting languages including <b>Python</b>, <b>PHP</b>, or <b>JavaScript</b>.</li><li>
Proficiency with frontend frameworks such as <b>React</b>, <b>Vue</b>, or similar modern <b>JavaScript frameworks</b>.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul><p><b>
Preferred</b></p><ul><li>
Experience working with <b>AI-powered development tools</b> such as <b>Cursor</b>, <b>Claude Code</b>, <b>Devmate</b>, or similar <b>AI coding assistants</b>.</li><li>
Familiarity with <b>GraphQL</b> and modern API design patterns.</li><li>
Experience with <b>React ecosystem</b> including <b>Relay</b> for data fetching.</li><li>
Knowledge of <b>AI/ML technologies</b> and experience integrating language models (<b>GPT-4o</b>, <b>Claude</b>, etc.) into production applications.</li></ul><p><b>
Compensation &amp; Legal</b></p><ul><li><b>
Hourly contractor</b></li><li><b>
Paid weekly via Stripe Connect</b></li></ul><p><b>
Application Process (Takes 20&ndash;30 mins to complete)</b></p><ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul><p><b>
Resources &amp; Support</b></p><ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul><p><i>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</i></p></div>

AI Engineer – Remote Work

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