certified nursing assistant (cna) - full time

content writer editor ai research- remote

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ai trainer/data annotator - remote Jobs in Seattle

ai trainer/data annotator - remote

booking agent | fully remote Jobs in Seattle

booking agent | fully remote

certified nursing assistant (cna) - full time Jobs in Seattle

content writer editor ai research- remote Jobs in Seattle

credit & payments – top customer program manager 2- remote Jobs in Seattle

booking agent fully remote

Evermore Travel LLC

<div>
 
 Job Title
 
 : Booking Agent | Work From Home
 
 
 
 Location
 
 : Remote
 
 
 
 Company:
 
 Evermore Travel LLC
 
 
 We are a full-service travel planning company that helps individuals, couples, families, and groups book unforgettable vacation experiences. From all-inclusive resorts and cruises to personalized itineraries, were committed to delivering exceptional service and seamless planning from beginning to end.
 
 
 
 
 Position Overview:
 
 
 
 
 We are looking for an organized, self-motivated, and travel-loving Booking Agent to join our remote team. In this work-from-home role, you'll assist clients with researching, planning, and booking travel arrangements while ensuring a positive and stress-free experience. Ideal candidates are proactive, enjoy helping others, and are excited to work in a flexible, service-focused environment.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Assist clients in booking travel arrangements including flights, hotels, cruises, resorts, and vacation packages
 </li>
 <li>
 Provide tailored travel recommendations based on each clients needs and preferences
 </li>
 <li>
 Manage all booking logistics through online platforms and maintain accurate client records
 </li>
 <li>
 Communicate professionally via phone, email, and messaging tools to address questions, changes, or concerns
 </li>
 <li>
 Stay up to date on travel trends, supplier promotions, and destination options
 </li>
 <li>
 Deliver high-quality support before, during, and after travel to ensure a great customer experience
 </li>
 <li>
 Build strong client relationships that support repeat business and referrals
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 Prior experience in travel booking, or customer service is a plus but not required
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Ability to work independently and manage multiple tasks in a remote setting
 </li>
 <li>
 Comfortable using digital tools and booking platforms (training provided)
 </li>
 <li>
 Detail-oriented and organized with strong follow-through
 </li>
 <li>
 Must be 18 years or older with a reliable internet connection and personal computer
 </li>
 <li>
 Passion for travel and helping others explore the world
 
 
 
 </li>
 </ul>
 What We Offer:
 
 
 <ul>
 <li>
 Flexible work-from-home schedule
 </li>
 <li>
 Access to travel industry tools and exclusive booking platforms
 </li>
 <li>
 Ongoing training and professional development
 </li>
 <li>
 Incentive-based earning opportunities
 </li>
 <li>
 Travel perks and supplier discounts
 </li>
 <li>
 A collaborative and supportive team environment
 
 
 
 </li>
 </ul>
 $20,000 - $65,000 a year
 
 
 
 
 Work Environment:
 
 
 This is a fully remote position with flexible scheduling. Perfect for individuals who enjoy working independently while being part of a passionate and people-focused team.
 
 
 
 In order To qualify, you must be based and authorized to work in one of the following locations: United States, Australia, Bahamas, Brazil, Cayman Islands, Colombia, Costa Rica, Dominican Republic, Italy, Mexico, Saint Kitts &amp; Nevis, Saint Lucia, Spain, or Trinidad and Tobago.
 
</div>

Booking Agent | Fully Remote

Careers In Travel | Destination Planners

<div>
 
 Job Title:
 
 Hospitality Customer Service &ndash; Hotel Reservations (Remote)
 
 
 
 Company:
 
 Destination Knot
 
 
 
 Job Type:
 
 Flexible Schedule | Remote Work
 
 
 
 About Destination Knot
 
 
 
 Destination Knot is a professional travel planning company dedicated to creating exceptional travel experiences for clients around the globe. We specialize in hotel accommodations, cruises, all-inclusive resorts, and group travel, with a focus on outstanding customer service and attention to detail.
 
 
 
 Position Overview
 
 
 
 We are seeking friendly, detail-oriented individuals to join our team as
 
 Hospitality Customer Service Representatives
 
 for hotel reservations. In this fully remote role, you will assist clients with selecting, booking, and managing hotel stays, ensuring their travel plans are seamless and stress-free. This position is ideal for individuals who enjoy working with people, have excellent communication skills, and want flexibility in their work environment.
 
 
 
 Key Responsibilities
 
 
 
 Communicate with clients to understand their hotel needs, preferences, and budgets
 
 
 Provide accurate information about hotel options, pricing, and amenities
 
 
 Assist clients with making and managing reservations
 
 
 Maintain accurate records of client interactions and bookings
 
 
 Respond to inquiries promptly and professionally via phone, email, or online platforms
 
 
 Collaborate with team members to ensure client satisfaction
 
 
 Stay current on travel trends, hotel offerings, and industry updates
 
 
 
 Requirements
 
 
 
 Strong communication and customer service skills
 
 
 Friendly, professional demeanor with attention to detail
 
 
 Ability to work independently and manage multiple tasks
 
 
 Basic computer proficiency and reliable internet connection
 
 
 Interest in hospitality, travel, and creating memorable guest experiences
 
 
 Previous experience in customer service, hospitality, or reservations is a plus but not required
 
 
 
 What We Offer
 
 
 
 Flexible, remote work environment
 
 
 Comprehensive training and access to industry tools and booking systems
 
 
 Supportive team culture and mentorship
 
 
 Income-earning possibilities based on performance
 
 
 Exclusive travel discounts and perks
 
 
 Opportunities for personal and professional growth
 
 
 
 Ready to provide outstanding service while helping clients book their ideal hotel stays?
 
 
 
 Apply today and join the Destination Knot team!
 
 
 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.
</div>

Hospitality Customer Coordinator– Hotel Reservations (Remote)

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 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>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

Scowtt

<div>
 
 About Scowtt
 
 
 
 Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action&mdash;immediately. We&rsquo;re growing fast, and onboarding new customers quickly and cleanly is core to our success.
 
 
 
 About The Role
 
 
 
 We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ideal for new graduates or early-career engineers who want hands-on experience working on real ML systems in a fast-paced, collaborative startup environment.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Assist in training, evaluating, and deploying ML models
 </li>
 <li>
 Work with structured and behavioral data used in marketing and sales systems
 </li>
 <li>
 Help automate and maintain data and ML pipelines
 </li>
 <li>
 Collaborate with engineers to integrate ML models into AI agents
 </li>
 <li>
 Debug, optimize, and improve model and pipeline performance
 </li>
 <li>
 Learn how ML systems operate in real production environments (cloud, monitoring, iteration)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, ML, Data Science, or equivalent
 </li>
 <li>
 1-3 years of experience in data structures, algorithms
 </li>
 <li>
 1-3 years of experience with machine learning concepts and workflows
 </li>
 <li>
 1-3 years of experience in coding using Python with demonstrated strong coding skills
 
 
 </li>
 </ul>
 
 Should Have
 
 
 
 <ul>
 <li>
 Exposure to ML frameworks through coursework, projects, or internships
 </li>
 <li>
 Curiosity, ownership mindset, and eagerness to learn
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Hands-on project or internship experience with real datasets
 </li>
 <li>
 Exposure to cloud platforms (GCP or AWS)
 </li>
 <li>
 Familiarity with tools like BigQuery, notebooks, or basic data pipelines
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 You contribute to shipping ML models with guidance
 </li>
 <li>
 You learn to debug data and model issues
 </li>
 <li>
 You steadily increase independence and ownership
 </li>
 <li>
 You build strong foundations in applied ML engineering
 
 
 </li>
 </ul>
 
 Pay Range And Compensation Package
 
 
 
 Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.
 
 
 
 Equal Opportunity &amp; E-Verify Employer
 
 
 
 Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment.
 
 
 This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.
</div>

Machine Learning Engineer I

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale.
 
 
You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. 
 
Key job responsibilities 
<ul><li>Design and build agents to guide advertisers in conversational and non-conversational experience.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).</li><li>Curate datasets and tools for MCP.
</li><li>Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. 
 
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
The Campaign Strategies team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem. 
 
Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in designing experiments and statistical analysis of results</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 172,400.00 - 223,400.00 USD annually 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist II, Sponsored Products and Brands - Advertiser Guidance

YO IT Consulting

<div>
 
 Role Overview
 
 
 
 Seeking generalist experts to support a large-scale project with a leading AI research partner. The goal is to create and refine a diverse dataset of human-aligned tasks for supervised fine-tuning (SFT) of frontier models. Generalists will contribute by generating realistic prompts, evaluating AI outputs, and iterating on responses to ensure quality and domain relevance. This is a short-term, project-based opportunity ideal for professionals with broad analytical capabilities and writing skills.
 
 
 <ul>
 <li>
 Key Responsibilities
 </li>
 <li>
 Create base prompts across a range of generalist topics
 </li>
 <li>
 Review and revise AI-generated responses for clarity, accuracy, and alignment with human reasoning
 </li>
 <li>
 Develop prompt-response iterations using variations in length, style, and system prompts
 </li>
 <li>
 Contribute to benchmarking efforts by identifying failure points in model responses
 </li>
 <li>
 Apply consistent quality standards across diverse content types (e.g., summaries, Q&amp;A, synthesis tasks)
 </li>
 <li>
 Ideal Qualifications
 </li>
 <li>
 2+ years of experience in research, education, writing, editing, or adjacent analytical fields
 </li>
 <li>
 Proven ability to communicate complex topics clearly and concisely
 </li>
 <li>
 Strong attention to detail and critical thinking skills
 </li>
 <li>
 Comfort working independently with evolving task guidelines
 </li>
 <li>
 Familiarity with LLMs or AI-assisted writing tools is a plus
 </li>
 <li>
 More About the Opportunity
 </li>
 <li>
 Remote and asynchronous &mdash; set your own schedule
 </li>
 <li>
 Expected commitment: 10-25 hours/week
 </li>
 <li>
 Project duration: ~2 weeks with potential for extension
 </li>
 <li>
 Flexible task structure with batch-based assignments
 </li>
 <li>
 Compensation &amp; Contract Terms
 </li>
 <li>
 $35-45/hour, with possibility of bonuses for strong performance and efficiency
 </li>
 <li>
 Paid weekly via Stripe Connect
 </li>
 <li>
 You&rsquo;ll be classified as an independent contractor
 </li>
 <li>
 Application Process
 </li>
 <li>
 Submit your resume to get started
 </li>
 <li>
 Complete a brief intake form to outline your expertise
 </li>
 <li>
 We aim to follow up within a few business days
 
 
 </li>
 </ul>
 Contract and Payment Terms
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 <li>
 Payments are weekly on Stripe or Wise based on services rendered.
 </li>
 </ul>
</div>

Content Writer Editor Ai Research- Remote

<div>
 
 Role Overview
 
 
 
 Leading AI lab to engage independent
 
 Data Science Experts
 
 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large datasets to extract insights that inform model design and refinement.
 </li>
 <li>
 Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
 </li>
 <li>
 Conduct performance assessments and data quality reviews on AI model outputs.
 </li>
 <li>
 Build reusable tools for data processing, visualization, and reporting.
 </li>
 <li>
 Partner with research teams to test hypotheses and scale experimental workflows.
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in data science, machine learning, or a related analytical field.
 </li>
 <li>
 Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
 </li>
 <li>
 Familiarity with large-scale data environments and version-controlled workflows.
 </li>
 <li>
 Strong command of statistical analysis, experimental design, and model validation.
 </li>
 <li>
 Clear written communication and comfort collaborating across technical teams.
 
 
 </li>
 </ul>
 
 More About The Opportunity
 
 
 
 <ul>
 <li>
 Expected commitment: 10+ hours/week.
 </li>
 <li>
 Exposure to high-impact AI research and applied experimentation.
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 
 Contract and Payment Terms
 
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 </ul>
</div>

Data Scientist - Remote

Explore 129+ Booking agent fully remote in Seattle this March. Find roles across top companies and apply now to boost your career.