Innodata Inc.

Web Designer

• Convert static design mockups (InDesign, PDFs, images) into responsive web pages using WordPress + Elementor .
• Build new landing pages for upcoming solutions and campaigns.
• Collaborate with marketing stakeholders to refine layout, content structure, and user experience.
• Optimize pages for performance, accessibility, SEO, and mobile responsiveness.
• Implement clean, modular Elementor templates that can be reused for future pages.
• Troubleshoot formatting issues, layout inconsistencies, and plugin conflicts.
• Ensure design fidelity when translating visual assets into web format.
• Provide accurate time estimates and deliver work on deadline.
• Work with Innodata’s existing web developer when necessary to ensure technical compatibility.

Web Designer – Production Execution, 6 Month Contract

Data Analyst

• Gather and analyze data from multiple sources, including web analytics, social media, and CRM tools to identify trends, patterns, and insights.
• Monitor overall marketing performance, evaluate ROI for direct marketing spend, and conduct A/B testing to refine strategies.
• Create dashboards, comprehensive reports, and presentations using tools like Tableau or Excel to communicate findings to stakeholders.
• Analyze competitor activity, market trends, and consumer buying intentions to inform marketing strategies.
• Work with marketing, sales, and product teams to translate data into actionable insights and strategic recommendations

Marketing Data Analyst – 6 Month Contract

Video Editor

• Produce 30–90 second product videos explaining Innodata’s AI, data engineering, and agentic evaluation capabilities
• Convert technical content into visually engaging, business-relevant narratives
• Create variations optimized for YouTube Shorts, TikTok, and LinkedIn
• Edit interviews with internal leaders and external subject matter experts
• Extract compelling sound bites and micro-content
• Add motion graphics, subtitles, charts, and branded visual elements
• Help launch and scale Innodata’s YouTube and TikTok channels
• Develop repeatable visual formats and series concepts
• Optimize titles, descriptions, tags, thumbnails, and posting cadence
• Collaborate with demand generation to align video content with campaigns
• Produce gated and ungated video assets to support landing pages
• Track engagement metrics and recommend optimization strategies

Video Editor – Production Focus, Contract

Data Scientist

• Design/improve workflows for AI/ML training
• Analyze large datasets and perform statistical analysis
• Collaborate with client stakeholders to gather requirements

Language Data Scientist

• Create and own processes for creating, validating and annotating data for use in LLM/ML applications
• Consult and engage with customers to understand their business goals
• Generate insights about the client’s processes and products to drive improvement and innovation
• Advise and support business unit heads on engaging with customers

Growth Marketing

• Own and grow assigned enterprise accounts with clear revenue and margin targets
• Ensure successful delivery outcomes and high customer satisfaction
• Identify expansion opportunities aligned to client business priorities
• Drive structured account planning, pipeline development, and forecasting
• Partner with delivery leadership to ensure performance, quality, and retention
• Improve Net Revenue Retention (NRR) and long-term account value

Account Growth Lead – Delivery, Sales

• Lead long-term projects with high complexity and ambiguity
• Design/improve workflows for AI/ML training and evaluation
• Design and refine search data annotation frameworks
• Gather data and insights, make recommendations, and drive improvement
• Assess and optimize search-specific evaluation approaches
• Analyze large datasets and make recommendations to improve accuracy and performance
• Collaborate closely with client stakeholders to understand goals and gather requirements

Senior Language Data Scientist – Search Specialization

• You can lead long-term projects with high complexity and ambiguity from first discussion with the client to completion
• Design/improve workflows to create data for AI/ML training and evaluation. Includes human annotation and data-collection workflows, as well as synthetic ones
• Dive deep into existing workflows and processes to gather data and insights, make recommendations, and drive improvement through innovation and cross-functional collaboration with customers
• Critically assess annotation tooling and workflows
• Quantitatively analyze large datasets, perform statistical analysis, calculate metrics, and make recommendations to improve accuracy and performance
• Work closely with client stakeholders on understanding goals, gathering requirements, proposing solutions, and executing them.
• Set an ambitious research agenda for improving our products and services
• Contribute to establishing best practices and standards for generative AI development with customers and within the organization

Senior Language Data Scientist

Data Engineer

• Design, build, and optimize scalable data pipelines for batch and real-time processing
• Develop and maintain event-driven architectures for high-throughput systems
• Ensure data reliability, performance, and low-latency processing across distributed environments
• Collaborate with data scientists and application teams to enable analytics and AI use cases
• Implement best practices in performance tuning, monitoring, and cost optimization

Senior Data Engineer – Real-Time & Distributed Systems, GCP

Data Entry

• As a Data Annotator on our AI Large Language Models (LLMs) team, you will join a truly global team of subject-matter experts across a wide variety of disciplines and be entrusted with a range of responsibilities.
• Strong critical thinking and written skills to be able to understand challenging guidelines and articulate their understanding
• Associate data providers or mark them as irrelevant based on agreed upon requirements.
• Mine metadata to support requirements for display, search and filtering
• Hit productivity targets, including for the number of prompts written and the average handling time per prompt

Data Annotator

Solutions Engineer

• Design Physical AI problem formulations that map real‑world robotic behavior into concrete data and evaluation requirements for training policies, world models, and perception systems.
• Prototype perception, world‑model, and action‑representation pipelines (e.g., VLMs, VLAs, world models) to understand what data is needed, why it matters, and how quality will be measured.
• Use simulation and synthetic environments (digital twins, Isaac/Omniverse‑style tools) to generate, stress‑test, and scale datasets for robotics and humanoid systems, grounded in real sensors, tasks, and constraints.
• Work directly with customers’ robotics and ML teams to define data specifications, collection strategies (egocentric capture, teacher‑follower demonstrations, imitation learning), and evaluation benchmarks that tie to model performance and business outcomes.
• Lead technical discovery and pre‑sales pilots: scope projects, design experiments, and secure the “technical win” by demonstrating uplift from our data, annotations, and pipelines.
• Collaborate with internal data‑collection and platform teams to design robust data pipelines, annotation workflows (including affordances and advanced CV labels), and QA processes that generalize across customers.
• Develop reusable playbooks, reference architectures, and demos for common Physical‑AI use cases (manipulation, mobile navigation, teleoperation, human‑robot interaction) to accelerate future engagements.
• Influence the product and tooling roadmap by bringing structured feedback from frontier robotics customers, and help shape a scalable “Robotics & Physical AI data platform.”
• Represent the company at key industry events and workshops, evangelizing best practices for robotics data, simulation, and evaluation and helping build a broader data and partner ecosystem.

Robotics & Physical AI Solutions Architect

Content Marketing Manager

• Serve as the primary creator of sales content, including pitch decks, one-pagers, solution briefs, proposal templates, case studies, and competitive battle cards.
• Partner closely with the Senior Marketing Manager to ensure all materials align with Innodata’s messaging, positioning, and brand standards.
• Translate complex AI and data engineering solutions into clear, compelling, buyer-centric narratives.
• Create and maintain templates and storytelling frameworks to ensure consistency and quality across all sales materials.
• Continuously refine and update content based on sales feedback, market changes, and campaign priorities.
• Manage and organize a centralized library of sales content to ensure materials are easy to find, current, and used effectively.
• Partner with Sales to train teams on what content exists, when to use it, and how to position it in the sales cycle.
• Support onboarding and occasional enablement sessions tied to new content, product updates, or campaigns.
• Gather feedback from Sales and Solutions teams to continuously improve content relevance and usability.
• Maintain sales content within enablement and content management platforms.
• Track basic content usage and adoption metrics, partnering with the team for deeper reporting or integrations.

Sales Content & Enablement Manager

Artificial Intelligence

🇺🇸
English
Post a Job
Affiliates
❌ Jobs You've Hidden
⭐️ Saved Jobs
✅ Applied Jobs
Account
This job opening is no longer available.
Similar Jobs
AI Specialist – Data Services

October 28

John Hopkins University

2 - 10

📚 Education

Website
LinkedIn
All Job Openings

AI Specialist leading the integration of AI in research and scholarly communication at Johns Hopkins University. Responsible for developing training and resources for researchers regarding ethical AI use.

🇺🇸 United States – Remote

💵 $85.5k - $149.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

AI Operations Manager

October 27

SuperAnnotate

51 - 200

Website
LinkedIn
All Job Openings

AI Operations Manager overseeing the entire lifecycle of data creation projects for enterprise clients. Driving execution with a focus on quality, detail, and technical expertise.

🇺🇸 United States – Remote

💵 $95k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

Generative AI Post-Doctorate Fellow

October 23

The College Board

1001 - 5000

📚 Education

🤝 Non-profit

Website
LinkedIn
All Job Openings

Generative AI Post-Doctorate Fellow shaping AI-driven learning assessments for College Board. Collaborating with researchers and engineers to enhance assessment methods with generative AI.

🇺🇸 United States – Remote

💵 $104k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

AI Agent Engineer

October 22

Observe.AI

51 - 200

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Website
LinkedIn
All Job Openings

AI Agent Engineer at Observe.AI leading the development and deployment of AI agents for customer interactions. Responsible for end-to-end lifecycle from building to optimizing solutions.

🇺🇸 United States – Remote

💵 $108k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

AI Automation Analyst

October 21

Invoca

201 - 500

🤖 Artificial Intelligence

🤝 B2B

📡 Telecommunications

Website
LinkedIn
All Job Openings

AI Automation Analyst executing Invoca’s AI Transformation strategies. Partnering with teams to implement AI-powered automations and optimize workflows across the business.

🇺🇸 United States – Remote

💵 $110k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

Search More Artificial Intelligence Jobs
🇺🇸
English
Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com
Search
Search Jobs by country
Search Jobs by industry
Search jobs by city
Search jobs by state
Search jobs by job title
Search entry-level jobs
Search junior-level jobs
Search senior-level jobs
Search H1B visa jobs
Search jobs by tech stack
Search jobs by contract type
Search remote internships
Search remote part-time jobs
Remote jobs Anywhere in the World
Companies Hiring Anywhere in the World
Companies Hiring Sales People Anywhere in the World
Companies Hiring Software Engineers Anywhere in the World
Companies Hiring Remote in the United States
Resources
Advice
Tips for finding remote jobs
Interview questions and answers
Resume examples
Cover letter examples
Post a job
Affiliates
Privacy policy and terms of service
Job board SEO course
AI Apply Copilot
Jobs by Country
Remote jobs United States
Remote jobs Australia
Remote jobs Brazil
Remote jobs Canada
Remote jobs France
Remote jobs Ireland
Remote jobs Germany
Remote jobs Netherlands
Remote jobs Spain
Remote jobs UK
Popular Jobs
Remote data analyst jobs
Remote customer support jobs
Remote executive assistant jobs
Remote marketing jobs
Remote product designer jobs
Remote product manager jobs
Remote project manager jobs
Remote recruiter jobs
Remote sales jobs
Remote software engineer jobs
Jobs by Type
Remote full-time jobs
Remote part-time jobs
Remote contract jobs
Remote internship jobs
Remote entry-level jobs (no experience required)
Remote junior jobs (1-3 years of experience)
Digital nomad jobs
High paying remote jobs
Legitimate and real work from home jobs
Remote jobs with no degree required

Generative AI Associate – Red Teaming Specialist

• Complete extensive training on AI/ML, LLMs, Red Teaming, and jailbreaking, as well as specific project guidelines and requirements
• Craft clever and sneaky prompts to attempt to bypass the filters and guardrails on LLMs, targeting specific vulnerabilities defined by our clients
• Collaborating closely with language specialists, team leads, and QA leads to produce the best possible work
• Assist our data scientists to conduct automated model attacks
• Adapt to the dynamic needs of different projects and clients, navigating shifting guidelines and requirements
• Keep up with the evolving capabilities and vulnerabilities of LLMs and help your team’s methods evolve with them
• Hit productivity targets, including for number of prompts written and average handling time per prompt