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Task Manager Remote Jobs in Dallas, TX (NOW HIRING)

Nexora Talent

Client Support Specialist (Remote)

Dallas, TX · Remote

$17.75 - $24/hr

Support daily administrative and operational tasks as assigned * Maintain professionalism and ... Experience with CRM systems or customer support platforms * Familiarity with remote collaboration ...

Metasys

NNMi Solution Architect /w OpsA (remote)

Irving, TX · Remote

$60.50 - $79.75/hr

... WILL BE AT LEAST 50% REMOTE IF NOT FULLY REMOTE NNMi Solution Design Tasks/Activities in ... tasks TECHNICAL REVIEW Network topological configurations Security requirements Scope of managed ...

Jose Merciline

Project manager

Coppell, TX · On-site +1

Position is remote until June 2021. Role can be based out of any of the locations mentioned below ... COPPELL, TX OR TAMPA, FL Roles and Tasks Coordinate cross-functional teams and ensure progress ...

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All JobsTask JobsTask Manager Remote JobsTask Manager Remote Jobs in Dallas, TX

Task Manager Remote information

See Dallas, TX salary details

$28.7K

$103.4K

$116.7K

How much do task manager remote jobs pay per year?

As of Aug 14, 2026, the average yearly pay for task manager remote in Dallas, TX is $103,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $115,200.00 per year, depending on experience, location, and employer.

What is the difference between Task Manager Remote vs Project Coordinator?

AspectTask Manager RemoteProject Coordinator
CredentialsOften requires project management certifications (e.g., PMP, CAPM)Typically requires a bachelor's degree; certifications like CAPM are common
Work EnvironmentRemote, flexible hours, digital collaboration toolsRemote or on-site, collaborative team settings
Industry UsageUsed across various industries for task oversightCommon in construction, IT, marketing, and corporate projects
Primary FocusOverseeing tasks, timelines, and team productivitySupporting project execution, communication, and documentation

While both roles involve coordinating activities, Task Manager Remote primarily focuses on managing tasks and timelines remotely, often requiring project management certifications. Project Coordinators support project teams with communication and documentation, and may work on-site or remotely. Understanding these differences helps in choosing the right role based on your skills and career goals.

How does a remote task manager effectively coordinate with distributed teams to ensure project deadlines are met?

As a remote Task Manager, you'll frequently use digital tools like project management software, video conferencing, and instant messaging to coordinate tasks and track progress across time zones. Regular check-ins, clear documentation, and proactive communication are essential to keep everyone aligned and address potential bottlenecks early. You'll often facilitate virtual meetings and provide status updates to stakeholders, ensuring that team members understand priorities and deadlines. Building strong collaborative relationships remotely is key to overcoming challenges related to distance and varied work schedules.

What is a task manager remote?

Task Manager Remote jobs involve overseeing and coordinating tasks, projects, or workflows for a team or organization while working from a remote location. Individuals in this role are responsible for assigning tasks, tracking progress, managing deadlines, and ensuring effective communication among team members. They often use project management software and digital communication tools to stay organized and maintain productivity. These roles may exist in a variety of industries, including IT, marketing, customer service, and more. Remote task managers need strong organizational, communication, and leadership skills to succeed.

What are the key skills and qualifications needed to thrive as a task manager remote, and why are they important?

To thrive as a Task Manager Remote, you need strong organizational abilities, time management, and experience in coordinating multiple projects, often supported by a relevant degree or experience in administration or project management. Familiarity with digital collaboration tools such as Asana, Trello, Slack, and proficiency in cloud-based productivity suites is typically required. Excellent communication, self-motivation, and problem-solving skills help you excel in a virtual and often fast-paced environment. These skills ensure efficient workflow, clear team coordination, and successful delivery of tasks and projects from a remote setting.

What are popular job titles related to Task Manager Remote jobs in Dallas, TX?

For Task Manager Remote jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Task Manager Remote jobs in Dallas, TX look for?

The top searched job categories for Task Manager Remote jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Task Manager Remote jobs?

Cities near Dallas, TX with the most Task Manager Remote job openings:

Task Manager Remote jobs near you
Infographic showing various Task Manager Remote job openings in Dallas, TX as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $103,449 per year, or $49.7 per hour.

AI Engineering Manager_Machine Learning

VeeRteq Solutions Inc.

Irving, TX • Remote

Contractor

Posted 21 days ago

Job description

Role: Sr AI Engineering Manager_Machine Learning

Experience: - Minimum 10+ Years

Location: - USA Remote

Hiring Type: - C2C

 
 

    We are looking for a AI Engineer to design, build, and deploy high-quality AI-powered features with end-to-end ownership from prototyping to production, ensuring reliable, scalable, and impactful AI solutions.

    Responsibilities: -

    End-to-End AI Feature Ownership

    • Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning)
    • Own the Full Lifecycle: prototyping → evaluation → production deployment → iteration
    • Ensure solutions are reliable, performant, and aligned with product needs

    AI System Implementation

    • Build and optimize prompt pipelines for specific use cases
    • Build retrieval systems (embeddings, chunking, ranking)
    • Implement RAG-based workflows where needed
    • Iterate on outputs to improve quality, accuracy, and consistency
    • Design scalable and cost-efficient AI architectures for production workloads
    • Select and evaluate models (hosted vs open-source) based on use case constraints

    Agent-Based Systems (AgentCore)

    • Design and build agentic workflows capable of multi-step reasoning and decision-making
    • Integrate agents with tools, APIs, and internal systems to perform real-world actions
    • Implement planning, execution, and reflection loops for complex tasks
    • Manage context, memory, and state across multi-step interactions
    • Balance deterministic workflows vs. agent autonomy for reliability and control

    Experimentation & Evaluation

    • Run structured experiments to compare approaches (prompting, retrieval, models)
    • Define and track key metrics for AI performance (quality, latency, cost)
    • Debug and improve non-deterministic system behavior
    • Build and maintain evaluation datasets and benchmarks
    • Implement automated evaluation pipelines for continuous improvement

    Collaboration & Contribution

    • Drive technical direction and influence AI adoption across teams
    • Partner with product managers and designers to scope AI features
    • Contribute to shared patterns and reusable components
    • Participate in code reviews and design discussions
    • Support and mentor mid-level engineers where needed

    AI Reliability, Safety & Governance

    • Design guardrails to ensure safe and reliable AI behavior
    • Mitigate hallucinations, prompt injection, and model misuse
    • Ensure compliance with data privacy and enterprise requirements
    • Implement monitoring and observability for AI systems in production
    • Implement guardrails for agent actions (tool access control, execution boundaries)
    • Prevent failure cascades in multi-step agent

     

    Educational Qualifications: -

    • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
    • Technical certification in multiple technologies is desirable.

     

    Skills: -

    Mandatory skills

    Core AI Skills

    • Strong understanding of LLM capabilities and limitations
    • Experience with prompt engineering and structured output design
    • Hands-on experience with embeddings and vector search
    • Familiarity with RAG architectures and when to apply them
    • Experience designing agent-based architectures (AgentCore concepts)
    • Understanding of tool use, planning strategies, and memory mechanisms in LLM systems

    Engineering Skills

    • 5+ years of related work experience
    • Solid backend/system design fundamentals
    • Experience building and deploying production-grade systems
    • Ability to debug complex issues, including probabilistic outputs
    • Comfort working with APIs, pipelines, and data flows

    Product Thinking

    • Ability to translate user needs into effective AI solutions
    • Strong intuition for balancing quality, latency, and cost
    • Focus on delivering measurable product impact

    Collaboration

    • Communicates clearly across engineering and product teams
    • Contributes to team knowledge and shared practices.

     

    Good to have skills

    • Evaluate agent performance across multi-step tasks (task success rate, error propagation)
    • Debug and optimize agent decision-making and tool selection behavior
    VeeRteq Solutions is an Equal Opportunity Employer