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Remote Arabic Voice Over Jobs in Reston, VA (NOW HIRING)

Iridium Satellite, LLC

Software Engineer III

Reston, VA · On-site +1

$60.75 - $81.75/hr

... offers voice and data connectivity anywhere in the world. For over 20 years, Iridium's unique ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Iridium Satellite, LLC

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

... offers voice and data connectivity anywhere in the world. For over 20 years, Iridium's unique ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Iridium Satellite, LLC

Software Engineer III

Reston, VA · On-site +1

$60.75 - $81.75/hr

... offers voice and data connectivity anywhere in the world. For over 20 years, Iridium's unique ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Aris

Executive Value Advisor (USA remote)

Reston, VA · On-site +1

With over 30 years of expertise and recognition from leading analysts such as Gartner and Forrester ... Act as internal voice of the customer across product, delivery, commercial teams * Represent ARIS ...

Iridium Satellite, LLC

Senior Software Developer

Reston, VA · On-site +1

$57.50 - $76/hr

... offers voice and data connectivity anywhere in the world. For over 20 years, Iridium's unique ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

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All JobsArabic Voice Over JobsRemote Arabic Voice Over JobsRemote Arabic Voice Over Jobs in Reston, VA

Remote Arabic Voice Over information

See Reston, VA salary details

$15

$24

$39

How much do remote arabic voice over jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote arabic voice over in Reston, VA is $24.06, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $23.51 per hour, depending on experience, location, and employer.

What is a remote Arabic voice over?

A Remote Arabic Voice Over job involves providing voice recordings in Arabic for various types of media, such as commercials, e-learning modules, audiobooks, and video content, all from a remote location. Voice over artists are responsible for delivering clear, expressive, and accurate readings according to client specifications. This role typically requires a good quality microphone, a quiet recording environment, fluency in Arabic, and the ability to interpret scripts effectively. Remote work allows voice artists to complete projects from anywhere, often collaborating with clients online.

What is the difference between Remote Arabic Voice Over vs Remote Arabic Translator?

AspectRemote Arabic Voice OverRemote Arabic Translator
CredentialsVoice acting experience, language proficiency, recording skillsLanguage proficiency, translation certifications (e.g., ATA)
Work EnvironmentRecording studios, home studios, audio editing softwareOffice or remote work, translation tools, document review
Industry UsageMedia, advertising, entertainment, e-learningPublishing, localization, business communication
Search & Comparison IntentVoice over projects, audio recordings, narrationDocument translation, localization services

Remote Arabic Voice Over involves recording spoken content for various media, requiring voice acting skills and audio production. Remote Arabic Translator focuses on converting written text between Arabic and other languages, emphasizing language proficiency and translation expertise. Both roles are essential in media and communication industries but serve different purposes and skill sets.

What are the key skills and qualifications needed to thrive as a remote Arabic voice over?

To thrive as a Remote Arabic Voice Over, you need fluency in Modern Standard Arabic, strong vocal control, and experience in audio recording or performance. Familiarity with digital audio workstations (DAWs), high-quality microphones, and sound editing software is typically required, along with a quiet home recording setup. Exceptional communication, attention to detail, and the ability to interpret scripts creatively are important soft skills in this field. These skills ensure professional-grade recordings that meet client expectations and effectively engage Arabic-speaking audiences.

What are some common challenges faced by remote Arabic voice over artists, and how can they be addressed?

Remote Arabic Voice Over artists often encounter challenges such as maintaining high audio quality from a home studio, managing irregular workflow, and ensuring clear communication with clients across different time zones. To overcome these, investing in quality recording equipment, soundproofing your workspace, and using reliable collaboration tools for file sharing and feedback are essential. Additionally, setting a consistent work schedule and proactively communicating availability helps build strong client relationships and streamline project delivery.
What are popular job titles related to Remote Arabic Voice Over jobs in Reston, VA? For Remote Arabic Voice Over jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Arabic Voice Over jobs in Reston, VA look for? The top searched job categories for Remote Arabic Voice Over jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Arabic Voice Over jobs? Cities near Reston, VA with the most Remote Arabic Voice Over job openings:
Remote Arabic Voice Over jobs near you
Infographic showing various Remote Arabic Voice Over job openings in Reston, VA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $50,037 per year, or $24.1 per hour.

AI Video Generation Architect

Modern Classrooms Project

Washington, DC • On-site, Remote

$170K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Start Date: ASAP
Role Type: Full-Time, Salaried
Background: Software development
Location: Remote, Flexible (USA based)
Salary: $170,000-$200,000 per year, plus benefits
Who We Are:
The Modern Classrooms Project (MCP) is a 501(c)(3) nonprofit organization that empowers educators to build classrooms that respond to every student's needs. Founded by two award-winning teachers, we lead a movement of educators in implementing a self-paced, mastery-based instructional model that leverages technology to foster human connection, authentic learning, and social-emotional growth.
To date, we have reached over 100,000+ teachers through our free online course in 150+ countries. We are an ambitious, idealistic team led by former classroom teachers, and we are passionate about what we do.
Job Description - Why we need you!
Effective instructional videos make high-quality instruction accessible to all learners, regardless of experience or background. Every day, in classrooms around the world, Modern Classroom educators replace live lectures with instructional videos so that students can learn at their own paces, in school and/or at home. Good videos enhance learning - and they are time consuming to produce. A single high-quality lesson video can take hours to plan, record, edit, and caption.
We need an experienced, hands-on, AI-native engineer to build a brand new, state-of-the-art generative pipeline that turns specifications into high-quality instructional videos - complete with animations, synchronized AI narration, captions, and automated ground-truth quality verification. You will own the video render path end to end, from the canonical specification to the final rendered output, creating intuitive, powerful tools that will directly support educators and students every day.
Key Responsibilities
As our AI Video Generation Architect, you will be a senior individual contributor on our Engineering Team, reporting to the Head of Engineering and collaborating closely with the Chief Innovation Officer to ship features that make a real difference for students and educators.
You'll be joining a small and growing team of talented software engineers working together to solve the problems teachers and students face every day. We're building a world where every student can succeed, and we need you to help us make that happen.
You will:
  • Architect the video generation pipeline end to end. Design the gen-AI pipeline that transforms lesson specifications into storyboards, scene graphs, scripts, and production plans. Every stage emits deterministic lessons-as-code and structured intermediate artifacts - scene specs, asset manifests, timing maps - that can be inspected, versioned, cached, diffed, and selectively re-rendered.
  • Ship multiple substantial features per week. This is a minimum velocity bar, not an exaggeration. You will leverage AI and agentic coding to build incredible software, very, very quickly.
  • Build the multi-agent production workflow. Develop agentic orchestration (LangGraph or equivalent) in which an orchestrator delegates to specialist agents: pedagogy analyst, instructional scriptwriter, slide designer, animator, narrator, and a panel of graders, evaluators, and LLM judges, with structured outputs and human-in-the-loop labeling and fine-tuning.
  • Engineer the video generation pipeline. Build brand-consistent, design-system-driven video generation from structured content: layout engines and templates, LaTeX/KaTeX mathematical typesetting, programmatic diagrams and charts, and text-faithful image generation for illustrations with automated readability checks. Design programmatic motion to support worked examples with narration: kinetic typography, transitions, animated number lines and area models. Run parallelized rendering with generative video models (e.g. Veo / Kling / Seedance). Narration with TTS (e.g. ElevenLabs v3 / Gemini-TTS) audio tags and SSML, pronunciation lexicons for mathematical vocabulary, consistent voice identities across a course, multi-voice dialogue, multilingual narration, and open license music embeds.
  • Build the ground-truth quality system. Construct golden datasets of spec-to-video pairs annotated by educators. Implement rubric-based scoring with calibrated LLM- and VLM-as-judge evaluators: frame-level visual fidelity, verification of on-screen mathematics, A/V sync validation, pedagogical fidelity checks against the source spec's learning objectives, reading-level analysis, and K-12 content safety screens. Symbolically verify every worked example with a computable ground truth verification system - if the video teaches 3/4 + 1/8, a machine learning model should independently confirm the answer before any student sees it.
  • Architect resilient, high-scale media infrastructure. Design and scale the distributed backend across Python and TypeScript that carries the pipeline: render queues and job orchestration, transcoding and streaming (HLS), and provenance-aware metadata for AI-generated media. Own the systems design and ensure our foundational architecture is ready to scale.
  • Raise the bar for the team. Review the work of teammates and contractors. Collaborate with teammates on architecture and implementation reviews. Write PR comments, design docs, and agent skills that make the next person faster.

You should apply if:
  • You are AI-native. You are an expert in continuous multi-session development with Claude Code and/or OpenAI Codex. You are an expert at prompt engineering and context engineering. You write Agent Skills the way other engineers write unit tests. You practice Spec-Driven Development (GitHub Spec Kit or equivalent) as part of your normal workflow.
  • You have built real backend AI orchestration layers that run when you're not watching. You think in graphs - shared state flowing through nodes, conditional edges, interrupts, and circuit breakers. You have shipped non-trivial agentic pipelines using LangGraph, Python, and TypeScript, or equivalent. You treat durable execution, structured outputs, human-in-the-loop checkpoints, and provider-agnostic model routing as baseline design constraints. You have built evaluation harnesses, annotated datasets, and versioned prompt chains as first-class artifacts.
  • You are a programmatic media craftsperson. You have deep experience with a programmatic animation framework (e.g. Manim, Remotion / Motion Canvas) and strong FFmpeg fundamentals: codecs, containers, color, audio streams, muxing. You understand TTS model trade-offs, expressive direction with audio tags and SSML, pronunciation lexicons, forced alignment and word-level timestamps, and loudness standards. You can hear when the pacing is wrong for a twelve-year-old learner, and you fix it in the pipeline, not the waveform.
  • You treat quality as a measurable system. You build golden datasets and calibrated judges before you scale generation. You combine deterministic checks (schemas, layout constraints, symbolic math verification, A/V sync) with LLM- and VLM-as-judge evaluation validated against human labels. You catch the subtly wrong diagram, the mispronounced denominator, the worked example that's off by one - and the same eye applies to agent-generated code, which is plausible but not always right. You do not ship what you cannot measure.
  • You are self-directed. You thrive in small, high-autonomy teams and startups where the surface area is broad and the context shifts constantly. You write clearly. You own a problem end-to-end without waiting for a ticket to tell you what to do next.
  • You love to learn. You're actively leveraging the latest developments in AI and applying them to enhance both your own and others' work. You're also motivated by MCP's mission and vision, and eager to build teacher- and student-facing products.
  • You want to shape the world. You're motivated to be part of something larger than yourself. You believe that the highest value of your talent is using it to empower others. You're ready to make a real difference in educators' and young people's lives.

It would also be helpful if:
  • You have experience building edtech products.
  • You have experience handling sensitive and/or confidential data, particularly in an education context (COPPA, CIPA, FERPA, PPRA, SOC 2).

Compensation and Benefits
We aim to offer a competitive compensation package, as well as the opportunity to work in a fast-growing nonprofit that is on a mission to improve education worldwide. This includes:
  • Salaried position: $170,000-$200,000 gross salary per year
  • Employer-sponsored health insurance through CareFirst BlueCross BlueShield
  • Employer-sponsored dental and vision insurance through MetLife
  • Participation in Vanguard 403(b) deferred-compensation plan with 3% employer match
  • Paid Time Off, inclusive of: vacation/PTO (20 days), paid holidays, paid parental leave, sick and safe paid time off, "Me Days", and the ability to earn paid Comp time off
  • Annual budget for MCP-funded Continuous Learning for the program(s) you request (available after 6 months of continuous full-time employment)
  • FSA and Dependent Care FSA access
  • 1x Salary Life Insurance company-paid coverage
  • Access to Wishbone Pet Insurance Benefit
  • Ability to work remotely and to set your own hours (within reason)

STATEMENT OF NON-DISCRIMINATION: The Modern Classrooms Project is committed to equal employment opportunity. We do not discriminate on the basis of race, color, gender, disability, age, religion, sexual orientation, nationality, or ethnicity. We are strongly committed to hiring a diverse team and encourage applications from traditionally under-represented backgrounds.

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