Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Ship state of the art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage Please Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term. As a Machine Learning Intern, you will: - Design, train and improve upon cutting-edge models. - Help us develop new techniques to train and serve models safer, better, and faster. - Train extremely large-scale models on massive datasets. - Explore continual and active learning strategies for streaming data. - Learn from experienced senior machine learning technical staff. - Work closely with product teams to develop solutions. You may be a good fit if you have: - Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. - Experience using large-scale distributed training strategies. - Familiarity with autoregressive sequence models, such as Transformers. - Strong communication and problem-solving skills. - A demonstrated passion for applied NLP models and products. - Bonus: experience writing kernels for GPUs using CUDA. - Bonus: experience training on TPUs. - Bonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Our team builds, operates and maintains Airbnb’s global video production and large-scale audiovisual infrastructure in our event spaces, collaboration hubs and large specialty conference rooms at offices around the world. We work closely with the Infrastructure builds team, the live production crew and the office of the CEO to deliver highly functional and reliable AV infrastructure.

The Difference You Will Make:

• Hands-on experience in overseeing design, build, commissioning, and maintenance phases of 30-100 person multipurpose spaces, boardrooms and large conference room AV systems in concert with external AV consultants and AV integrators.
• R&D of new technologies, and innovative designs, to use in these systems, build and test proofs of concept. Includes research into the exciting frontier of AI technologies.
• Working closely with our IT builds project management team throughout the design and build phases.
• Assist in the design and operation of broadcast-grade AV infrastructure for large-scale event spaces supporting audiences of 100–1,000 people.

A Typical Day:

• No two days look the same. One morning you might be in our lab, hands-on with the latest equipment, running proof-of-concept tests to see what's worth bringing into our ecosystem. By afternoon, you could be deep in a broadcast studio commission, making sure every system fires exactly the way it should.
• Some weeks take you further afield — hopping a flight to one of our global offices to work alongside local AV integrators, walking a brand-new gathering space through commissioning and testing until it meets the standard you designed it to. Other days are all about the people: syncing with cross-functional partners, aligning on what's next, and making sure AV is never an afterthought.
• Variety isn't a perk here — it's the job.

Your Expertise:

• 10+ years experience in AV system design, integration and implementation. Emphasis on design for reliability and supportability.
• Qsys programming and commissioning (Control, UI and DSP programming/troubleshooting, Camera tracking experience a plus)
• Zoom Rooms as a VC platform (commissioning, administration, testing and troubleshooting)
• Experience with broadcast AV systems (video cameras, video switchers, digital audio mixing consoles, and SDI/IP backbone infrastructures)
• Programming and troubleshooting digital signal processing systems (QSC, Biamp, Yamaha etc..) and Dante networked audio routing and configuration
• Expert at troubleshooting complex systems (audio, video, network, control)
• Thorough comprehension of and ability to create AV schematics
• Working knowledge of IP networking design and troubleshooting along with basic switch configuration and vlans.
• Ability to assess, identify, manage and mitigate risk factors across complex systems
• Project management experience (ability to plan and coordinate with others, drive progress forward)
• Ability to research, clarify, condense and document complex R&D projects
• Experience with technical and end-user documentation of projects (as-builts, runbooks, troubleshooting guides)
• Based onsite daily in San Francisco, with occasional domestic and international travel to commission new systems at our global offices

Your Location:

This position is located in the San Francisco Bay Area. This role requires availability to work onsite in the 888 Brannan St headquarters at least 4 days a week.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [reasonableaccommodations@airbnb.com](mailto:reasonableaccommodations@airbnb.com). Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range
$136,000-$160,000 USD

We're Hiring!
Hi everyone,
We're looking for trustworthy, committed people who thrive working from home. This is a part-time role with the potential to go full-time for the right fit.
What You'll Do:
Creative & Technical Composition
Fact-Checking & Veracity Research
Logic & Reasoning Assessment
Semantic Error Detection
What We're Offering:
$300–$700 per week, based on the quality and volume of your work. No experience needed—we provide full training before you start.
What We Need:
A laptop or computer
Reliable internet connection
Strong English proficiency
Location: USA, Canada, Australia, or UK only
Interested?
Just reach out and I'll get back to you ASAP!

If you're fluent in English and have a laptop, you can probably do this.
We're a US tutoring platform hiring 100 tutors across Music, Languages, and Academics. You run 1:1 sessions with students matched to you, around 10–15 per month. Fully flexible hours.
Pay: $500–600/week, paid monthly via Wise. No fees.
Which subject would you like to teach? Reply with it and I'll send you the further details in comments.

Companies are now hiring people to work from home as

• AI Generalists
• Journalists
• Support Moderators
• Virtual Assistants
• Content Reviewers, and more — with flexible schedules and opportunities for beginners and experienced workers alike.

If you’ve been searching for legit remote jobs that you can apply for today, this list is packed with fresh openings from multiple companies all in one place.
📌 See the newest work from home jobs here:
https://www.workersonboard.com/weekly-jobs/
✨ Tip: Apply early because some remote jobs fill fast once applications start rolling in.
Drop a comment below if you want more daily remote job leads posted like this! 👇

Wiingy (US-based tutoring platform) is hiring tutors in Music, Languages, and Academics.

• 1:1 online sessions
• 10–15 students/month
• Flexible hours
• Paid monthly via Wise

Laptop + stable internet + fluent English required.
Comment your subject below. I'll reply with the signup details.

Looking for a high-paying remote writing opportunity? This role is seeking Generalist Writers to create realistic prompts based on how people actually request written content.
✍️ What you’ll do:

• Write natural, real-world prompts across different categories
• Focus on everyday and professional communication styles

📌 Examples include:

• Emails
• Short-form messages
• Polished notes
• Speeches and remarks

If you enjoy writing and understand how people communicate in real life, this could be a great fit.

Mercor is hiring highly detail-oriented Generalists on behalf of an AI lab to support human data pipelines used to train and evaluate advanced AI systems. This role is ideal for people who are extremely quality-focused, methodical, and take pride in producing consistently high-accuracy work. You’ll work on structured evaluation, labelling, and review tasks where precision matters more than speed. Small mistakes compound here — we’re looking for people who notice edge cases, inconsistencies, and ambiguity instinctively.
What You’ll Do:

• Review, evaluate, and annotate AI outputs with extreme attention to detail
• Follow complex guidelines precisely and apply them consistently across tasks
• Identify subtle errors, edge cases, and quality issues others might miss
• Provide clear, structured feedback to improve downstream AI training quality
• Maintain high accuracy across repetitive, high-volume workflows
• Flag unclear instructions or ambiguous cases proactively

Please note: This contract is for United States only.

We’re hiring reliable people to handle LinkedIn outreach for U.S. accounting firms.
You’ll be messaging leads, following up with interested prospects, using our scripts and helping book calls.
No sales experience needed. We provide the leads, scripts, self-paced training and live chat support.
💰 Pay:
• $75 per qualified booking that attends
• Base pay available after proven results
• Bonuses available for strong performers
• Paid via Wise or Remitly
⏰ Time:
• 1 hour or less per weekday
• Flexible timing during U.S. business hours
✅ Good fit if you:
• Are self-motivated and show up daily
• Don’t need chasing to get work done
• Communicate daily with updates on lead activity
📥 DM “SETTER + your country” for more info.

FEQ327R172

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other locations (Texas, Georgia) will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark", Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Manufacturing team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark", Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Zone 3 Pay Range
$180,000-$247,500 USD
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark", Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

We build AI employees that call, text, email, and close the loop in the CRM. We help businesses sell, follow up, and scale on autopilot. We're a lean startup and this role works directly with the founder. What this role actually is You won't just "build automations." You'll build AI systems that directly drive revenue for real businesses. This sits at the intersection of workflow automation, prompt design, sales psychology, CRM integrations, and client-facing problem solving. If something breaks, you fix it. If performance drops, you improve it. You'll be talking to clients directly, not just building behind the scenes. Hours are flexible and project-dependent. Some weeks are 5-10 hours, others are 20-50 when we're deep in a client build. This is a contractor role to start, with a clear path to full-time for the right person. What you'll be doing Building and deploying AI agents that call, text, and email leads on behalf of clients Connecting those agents to CRMs like HubSpot, Zoho, Salesforce, and GoHighLevel via APIs and webhooks Writing prompts and scripts that make our AI sound like a top-performing human, not a bot Handling client onboarding and support directly Troubleshooting, iterating, and improving automations based on real performance data Hard requirements Hands-on experience with n8n, Make, or a similar automation platform Able to read API docs, work with webhooks, and troubleshoot JSON Strong communicator, you will be put in front of clients Currently residing in North America, native English speaker Social intelligence and ability to write AI prompts that feel natural and persuasive Nice to have Experience building AI voice agents Familiarity with AI sales workflows, outbound calling, SMS sequences, follow-up automation Prompt engineering experience, especially for conversational or sales-focused AI Rate: $30-40 CAD/hr based on experience To apply, DM me with:* 1. A brief intro about your background 2. One specific automation or AI system you've built and what it did 3. Confirmation you are currently residing in North America 4. Your LinkedIn profile Applications missing any of the above will not be reviewed.

We’re a small team, pretty laid-back, and we try to keep things practical. No heavy process, no constant meetings. Just people building things, improving systems, and helping each other out when needed.
Looking for someone with at least a year of experience who’s comfortable getting their hands dirty, deployments, infrastructure, CI/CD, monitoring, automation, troubleshooting, performance improvements, that kind of work.
We’re not strict on tooling:
\* AWS, GCP, Azure — whatever you know best
\* Docker, Kubernetes, Terraform, CI/CD pipelines
\* Scripting/automation with Bash, Python, etc.
\* Expect to work with real systems, reliability issues, and scaling challenges
What you get:
\* Remote setup (Prefer EU/US/CA)
\* Flexible hours (seriously)
\* $27–$49/hour depending on experience
\* Part-time or full-time, both are fine
If this sounds like something you’d enjoy, send a quick intro and your location 📍