Most short-form editors are trapped in volume millsâchurning out 50+ generic clips a day with zero creative input, and burning out in 3 months. We expect quality over mindless output, and actually want your creative ideas. If youâre an elite editor tired of being treated like a content factory, keep reading.WHAT YOUâLL DOEdit short-form reels and podcast clips from raw creator content and interviews, identifying scroll-stopping moments that resonate with target audiencesAnalyze trends in creator niches and propose fresh reel concepts tailored to each modelâs brand and personalityEnsure platform compliance (proper framing, audio, age-appropriate content)Collaborate with creative team to refine edits based on feedback and achieve viral impactREQUIREMENTS1â2 years editing short-form content for Instagram/TikTok with portfolio of approved, published reels showing strong engagement and aesthetic qualityFluent in Spanish and English (can interpret creator content, understand briefs, and communicate effectively in both languages)Expert-level proficiency in CapCut â experience with DaVinci Resolve or Premiere Pro highly valued; must work on macOS (demonstrates commitment to professional-grade workflow and quality standards)Can identify viral moments and execute polished edits (test: create 1 podcast clip from raw interview in 20 minutesâedited with captions, filters, pacing)Demonstrates creative ownership and aesthetic vision (test: given raw content with no reference, create an original reel in 10 minutes that showcases personal style and connects emotionally with viewers)WHAT SUCCESS LOOKS LIKE30 days:Daily output maintained with 80%+ first-draft approval rateEdits demonstrate understanding of brand voice and platform trendsSuggests 1+ format ideas per week60 days:Editing speed improves while maintaining quality standards85%+ first-draft approval rateContributes 2+ trending format ideas per week90 days:90%+ first-draft approval rate (high proficiency across reel and podcast production)Creates 1 original format used 5+ times by team across multiple creatorsDemonstrates measurable creative impact on content performanceWHY BELLE MUSE?A-players onlyâwork with elite editors who give a shit about qualityYour creative ideas actually matter (we want originals, not just copies)Clear performance metricsâno guessing if youâre doing wellProfessional standardsâmacOS workflows, real training, no drama
Nomad: Senior Software Engineer II
Company: Location: Remote Published: 2026-05-19
Headquarters: Denver CO
URL: https://nomadlease.com
About Nomad
Nomad is unlocking economic opportunity for everyone in the long-term rental community. We offer property owners guaranteed rent and peace of mind, while delivering a better rental experience for residents. Backed by leading investors, we're transforming a massive, fragmented market with technology that makes renting better for everyone involved.
About the Team
Nomad's Engineering team builds the platform that powers guaranteed rent, owner dashboards, resident experiences, and the operational tools that make our business run. We're a small, senior team that ships fast and owns our outcomes. You'll work alongside product, design, and ops to solve real problems in a massive, underserved market. We're entering a new phase of growth. This is a high-leverage moment to join.
About the Role
We're hiring a Senior Software Engineer to take on meaningful ownership of our platform and deliver features that directly impact the business. You'll work across the stack, make real technical decisions, and ship end-to-end. This is a role for someone who's moved past needing close direction. You see what needs to be done, you build it well, and you make the people around you better in the process.
In this role, you will:
Build and ship features across our Rails backend and Typescript+React frontend
Play a crucial role in bringing solid engineering principles into multiple legacy codebases
Own your work end-to-end; from technical design through implementation, testing, and deployment
Collaborate directly with product and design to refine requirements and deliver solutions that move business metrics
Write clean, well-tested code and contribute to improving our engineering standards
Participate in code reviews and provide constructive feedback that raises the quality bar
Identify and address technical debt, bugs, and performance issues proactively
Contribute to architectural discussions and help the team make sound technical decisions
Who you are
An experienced product engineer with strong systems thinking abilities; you should be comfortable asking questions and improving the ideas that shape product iteration as well as executing on product vision
Significant professional software engineering experience, with strong experience in Typescript+React, Ruby+Rails, and RDBMS (we use Postgre)
You have experience with modern testing philosophies and can actively improve test suites that are slow, nondeterministic, or need updated practices
Bonus: You have experience automating workflows, using Playwright, Slack bots, and other tooling
You've shipped meaningful features or systems and can point to work you owned and delivered
Solid technical fundamentals; you write clean code, think about edge cases, and care about quality
You introduce and discuss modern tooling and libraries that solve recurring problems in the codebase
You are relentless in pushing for simplified patterns in the code and you have examples of systems you've simplified.
You have built out tooling (CI/Editor) to enforce improved coding practices across a codebase and improve developer experience.
You have experience with writing component and e2e-level visual browser tests and know when to use each.
Comfortable working across the stack; you're not precious about frontend vs. backend
Strong collaborator who communicates clearly with both technical and non-technical teammates
Self-directed: You take initiative, manage your own work, and don't wait to be told what's next
Experience in a startup or high-growth environment preferred
You’re comfortable using AI coding tools when they speed up implementation, debugging, or test writing, but you don’t rely on them to replace engineering judgment.
Interview process
Quick meeting with recruiter to discuss role and company
Hiring manager interview
(up to) 3 hour technical assessment where you'll work on a real problem that a Nomad engineer would own, building a feature.
Discuss technical assessment with engineering and product
Founder interview
Where you'll be
Remote within the continental United States. Denver-based candidates are preferred and are encouraged to work hybrid from our downtown office.
At Nomad, we are committed to offering competitive compensation that reflects the value each team member brings to our mission. Salary ranges for this role are determined based on factors such as experience, skills, location, and role expectations. Final offers may vary from the posted range, ensuring fair and equitable consideration for every candidate.
Our Values
Nomads Build Community: We foster genuine relationships and act as dependable stewards of our community.
One Percent Better Every Day: We are always learning, taking small, deliberate actions to continuously improve.
Mission Before Ourselves: We're a championship team driven to make our customers' lives better.
Act From Ownership: We roll up our sleeves, solve problems proactively, and take responsibility for our work.
Dream Without Boundaries: We challenge the status quo and strive to achieve the extraordinary.
Benefits at Nomad
We believe in supporting our team with benefits that enhance your life, both inside and outside of work.
Medical, Dental & Vision Insurance Plans: Comprehensive coverage to keep you and your family healthy.
Team Bonding Outings and Volunteer Days: Opportunities to connect and give back to the community.
Dog-Friendly Office: Because we know pets are family too!
️ 11 Paid Company Holidays: Including a dedicated Mental Health Day.
Company Equity: Become a part owner of Nomad and share in our success.
☂️ Short-Term & Long-Term Disability: Supporting you when life throws curveballs.
MacBook: Plus, an equipment budget to set you up for success.
⏰ Sick, Parental, and Generous Paid Time Off: Work-life balance matters to us.
Nomadic Anniversary Rewards: Celebrate milestones with rewards ranging from paid yearly events to a 4-week sabbatical.
Discounted Employee Brokerage Rates: Helping you buy or sell a home with ease.
Equal Opportunity Employer
Nomad Labs Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
To apply: https://weworkremotely.com/remote-jobs/nomad-senior-software-engineer-ii
Replace with job title
Company: Location: Remote Published: 2026-05-19
Fill In Job Description HerePROFILEFill in profile requirements here WE OFFER Fill in the details of our offer here
Member of Technical Staff Applied ML RecSys
Company: Location: Remote Published: 2026-05-19
About Liquid AISpun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.The OpportunityThis is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. You will own applied ML work end-to-end for recommendation system workloads, adapting Liquid Foundation Models for customers who need personalization and ranking capabilities that run efficiently under production constraints.Unlike most recommendation roles that are siloed into a single product surface, this role gives you full ownership over how large-scale recommendation models are adapted, evaluated, and deployed for enterprise customers. Between engagements, you will build reusable applied tooling and workflows that accelerate future delivery.If you care about data quality at scale, user behavior modeling, and making recommendation systems actually work in enterprise production environments, this is the role.What Weâre Looking ForWe need someone who:Takes ownership: Owns customer recommendation system engagements end-to-end, from requirements through delivery and evaluation.Thinks at scale: Can reason about user interaction data, sequential modeling, feature engineering, and evaluation across large-scale production systems.Is pragmatic: Optimizes for measurable customer outcomes (engagement, conversion, revenue lift) over theoretical novelty.Communicates clearly: Can translate between customer business metrics and internal technical decisions, and push back when needed.The WorkAct as the technical owner for enterprise customer engagements involving recommendation and ranking workloadsTranslate customer requirements into concrete specifications for recommendation modelsDesign and execute data pipelines for user interaction data, feature engineering, and training data curation at scaleFine-tune and adapt large-scale sequential recommendation models (e.g., HSTU-style architectures) for customer-specific use casesDesign task-specific evaluations for recommendation model performance (ranking quality, latency, throughput) and interpret resultsBuild reusable applied tooling and workflows that accelerate future customer engagementsDesired ExperienceMust-have:Hands-on experience building or fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering)Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systemsStrong intuition for data quality and evaluation design in recommendation contexts (offline metrics, A/B testing, business metric alignment)Experience with large-scale data pipelines for user interaction data and feature engineeringProficiency in Python and PyTorch with autonomous coding and debugging abilityNice-to-have:Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec, or similar)Experience delivering recommendation systems to external customers with measurable business outcomesFamiliarity with serving recommendation models under latency and throughput constraintsWhat Success Looks Like (Year One)Independently owns and delivers enterprise recommendation system engagements with minimal oversightIs trusted by customers as the technical owner, demonstrating strong judgment on the tradeoffs between model quality, latency, and business impactHas built reusable applied workflows or tooling that accelerate future customer engagementsWhat We OfferReal ML work: You will build and adapt large-scale recommendation models for enterprise customers, working with frontier architectures like HSTU under real production constraints.Compensation: Competitive base salary with equity in a unicorn-stage companyHealth: We pay 100% of medical, dental, and vision premiums for employees and dependentsFinancial: 401(k) matching up to 4% of base payTime Off: Unlimited PTO plus company-wide Refill Days throughout the year
Software Engineer Platform
Company: Location: Remote Published: 2026-05-19
We are rebuilding biotech for the AI era.When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.Weâre building an AI scientist for our customers. We canât do that if we havenât built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.ROLE OVERVIEWBenchling's mission is to unlock the power of biotechnology. The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products, and to accelerate time to milestone and market. Benchling's customers generate a rich variety of science data. To keep up innovation, Benchling needs highly scalable and effective infrastructure and developer experience pipelines that serve our internal engineers.Developer Experience is a crucial function that empowers our engineers to excel in their craft. As a technical leader in the Platform pillar, youâll work closely with the Developer Productivity and Release Engineering teams to create tools and frameworks that enhance developer experience, with a focus on the Path to Production. Your success will enable our engineering teams to efficiently deliver high quality products. By understanding the unique challenges developers face and crafting solutions to streamline their workflows, you'll play a key role in driving innovation and fulfilling Benchlingâs mission. RESPONSIBILITIESBuild and implement tooling for efficient, frictionless development, testing, and packaging for production release.Lead the design and development of release tooling that enables code changes to reach production within 10 minutes.Iterate on developer experience improvements using qualitative and quantitative feedback.Implement feedback loops that integrate quality into software development workflows.Champion effective engineering and operational patterns across the Engineering org.Collaborate with cross-functional teams to address challenges in engineering workflows that impact developer happiness and productivity.Work closely with product managers, designers, and peers in engineering to make Benchling a delightful place to develop software.Help rapidly scale our product and team. As a member of the engineering team, you'll be an integral part of how we mature our tooling, best practices, engineering processes, and hiring. QUALIFICATIONSHave 7+ years of experience in software engineering.Have 5+ years of experience with containerized applications (Docker, Kubernetes, etc) in production.Build software with a product-first approach. You ship code quickly and care about the real world impact of your code.Expertise with at least one web framework, preferably node or python.Have strong abilities in problem solving and iterating on feedback.Enjoy ownership and building key pieces of product.Have empathy for your customers and curiosity about their challenges.Are interested in learning more about life science (prior knowledge is not required; desire to learn is a must).Clear and effective communicator, especially in cross-functional settings #LI-Hybrid #LI-Remote#BI-Hybrid #BI-Remote#LI-CG1Benchling welcomes everyone.We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we donât discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.
Data Analyst
Company: Location: Remote Published: 2026-05-19
Everbridge is seeking a Data Analyst to help transform complex business and operational data into clear, actionable insights. This role will support reporting, workforce analytics, operational analytics, KPI tracking, forecasting, and cross-functional business intelligence initiatives.The Data Analyst will work closely with business stakeholders, analytics engineers, data engineers, and leadership teams to build trusted reporting solutions, validate business logic, improve data quality, and support data-driven decision-making across the organization.The ideal candidate has strong analytical fundamentals, advanced SQL skills, experience with modern cloud analytics platforms, and the ability to communicate insights clearly to both technical and non-technical audiences. This role is well suited for someone who is detail-oriented, curious, comfortable working with evolving data workflows, and interested in using automation and AI-assisted analytics tools to improve productivity, reporting quality, and operational efficiency.What You'll DoAnalyze large and complex datasets to identify trends, anomalies, risks, and business opportunities.Build, maintain, and improve dashboards, recurring reports, and self-service analytics solutions.Write efficient SQL queries to support business reporting, ad hoc analysis, and data validation.Partner with analytics engineering and data engineering teams to validate and consume curated datasets.Assist in designing, testing, and validating data models used in reporting and analytics workflows.Translate business questions into measurable KPIs, analytical frameworks, and reporting requirements.Perform data quality checks, investigate reporting inconsistencies, and support root cause analysis.Document business logic, metric definitions, data sources, reporting methodologies, and assumptions.Support workforce analytics, headcount reporting, workforce movement analysis, forecasting, and operational reporting.Collaborate with stakeholders across Finance, HR, Operations, Product, and business leadership.Identify opportunities to automate manual reporting processes and improve analytics scalability.Support automation initiatives that reduce repetitive work and improve reporting consistency.Use AI-assisted tools where appropriate to support analysis, documentation, workflow development, and reporting efficiency.Validate AI-assisted outputs using strong analytical judgment, business context, and data quality standards.Contribute to the continuous improvement of reporting standards, analytics processes, and data governance practices.What You'll Bring2-5 years of experience in data analytics, business intelligence, reporting, or a related analytical role.Strong proficiency in SQL for data extraction, transformation, analysis, and validation.Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.Experience building dashboards and reports using BI tools such as Tableau, Power BI, Looker, or AWS QuickSight.Strong understanding of relational databases, data modeling concepts, and analytical data structures.Ability to work with large datasets, complex business logic, and multiple data sources.Strong analytical, problem-solving, and critical-thinking skills.High attention to detail and commitment to data accuracy.Ability to manage ad hoc analysis requests while balancing recurring reporting priorities.Strong communication skills, with the ability to explain data findings to technical and non-technical audiences.Experience working with business stakeholders to gather requirements and translate them into reporting solutions.Ability to document assumptions, methodologies, business rules, and reporting logic clearly.Preferred ExperienceExperience in supporting HR, workforce, finance, operations, or SaaS business analytics.Experience with modern data transformation tools such as dbt.Familiarity with ETL/ELT pipelines and modern data stack architecture.Understanding of data governance, data quality, and reporting standardization best practices.Experience working with APIs, SharePoint data sources, or automated data ingestion workflows.Exposure to Python or other scripting languages for automation and data analysis.Experience working with Git or version-controlled analytics workflows.Exposure to knowledge graphs, entity relationship modelling, or semantic data structures, especially as applied to workforce analytics, business reporting, data discovery, or AI-assisted analytics workflows.Familiarity with AI-assisted analytics tools, generative AI copilots, automated insight generation, or workflow automation platforms.Nice-to-Have SkillsExperience using AI tools for general productivity, including drafting documentation, summarizing information, improving workflows, and accelerating routine analytical tasks. Experience using AI-assisted development tools or coding copilots to support SQL writing, scripting, debugging, documentation, or analytics workflow development. Familiarity with using AI to support automation, such as generating scripts, streamlining recurring reporting tasks, creating data validation checks, or improving manual business processes. Experience working in Agile analytics, product analytics, or cross-functional delivery teams. Curiosity about emerging analytics technologies, workflow automation, and AI-enabled business intelligence. Technical EnvironmentSnowflake SQL dbt Tableau Power BI AWS QuickSight Cloud-based analytics platforms Workforce and operational reporting datasets SharePoint and other business data sources Git and version-controlled analytics workflows AI-assisted productivity, development, and analytics tools We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About The JobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: Artifact Expert â PowerPoint SpecialistType: ContractCompensation: $60â$90/hourLocation: RemoteRole ResponsibilitiesConvert legacy decks into modern, polished PowerPoint presentations.Faithfully reproduce complex layouts, charts, smart objects, and embedded graphics.Apply consistent slide masters, themes, and corporate branding.Annotate and improve slides for clarity, narrative flow, and visual impact.QualificationsMust-HaveExpert-level proficiency in Microsoft PowerPoint (animations, transitions, slide masters, themes, smart objects).Strong sense of visual design and corporate deck conventions.Strong attention to detail and written English.Self-directed and reliable on a flexible schedule.Application Process (Takes 20â30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Analytics Engineer Upto $125 hr
Company: Location: Remote Published: 2026-05-19
About The JobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: Data Engineering ExpertType: ContractCompensation: $90â$125/hourLocation: RemoteRole ResponsibilitiesBuild long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth.Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior.Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases.Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets.Work independently in long focus sessions to create challenging scenarios for agent evaluation.Ensure tasks have checkable answers without open-ended essays or subjective judgment calls.QualificationsMust-HaveBS or MS in CS or related field.3+ years in data engineering or analytics engineering.Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing.Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites.Clear written communication skills to articulate reasoning and encode it into deterministic rubrics.Compensation & LegalHourly contractorStrong contributors are promoted based on task quality and throughput.Application Process (Takes 20â30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
In today's digital age, misinformation has become a rampant issue, especially when it comes to consuming current news. With the rise of social media and online platforms, it has become increasingly challenging to separate fact from fiction. This is where critical thinking skills play a crucial role in navigating the sea of information available at our fingertips.
In today's digital age, where information spreads rapidly through various communication tools, critical thinking skills have become more crucial than ever. Misinformation is prevalent, making it essential for individuals to develop the ability to discern truth from falsehood. This is where critical thinking skills come into play, allowing individuals to analyze information, evaluate sources, and make informed decisions.