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Member since Jun '24

Working languages:

Spanish to English
English to Spanish
Romanian to English
English to Romanian
Romanian to Spanish

Andra Ursu

Verified identity 14 clients would work again Bids within 24 hours

10 years of experience as a linguist

Local time: 13:21 EET (GMT+2)

Native in: Romanian

, English (Variants: British, US)

, Spanish (Variants: Standard-Spain, Puerto Rican)

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Freelance translator and/or interpreter,

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Linguistic validation, Translation, AI + Human review (MT post-editing) , Website localization, Editing/proofreading, Subtitling, Transcreation, Software localization, AI training, Native speaker conversation, Copywriting, Transcription, Training, Terminology management

Specializes in:
Marketing	Internet, e-Commerce
Cinema, Film, TV, Drama	Advertising / Public Relations
Telecom(munications)	IT (Information Technology)
Engineering: Industrial	International Org/Dev/Coop
Computers (general)	Computers: Software

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Sample translations submitted: 1

English to Spanish: English US>Spanish (Spain) Subtitling (Timestamping & Translation/Localization) General field: Art/Literary Detailed field: Media / Multimedia
Source text - English 1 00:00:01,092 --> 00:00:05,450 NEW YEAR'S EVE 21 MONTHS AGO 2 00:00:05,501 --> 00:00:08,082 One, two, three! 3 00:00:08,122 --> 00:00:10,122 Hey, bartender lady! 4 00:00:15,200 --> 00:00:20,285 I know it's New Year's Eve and all, but don't you think you've had enough? 5 00:00:21,000 --> 00:00:22,373 How about some food? 6 00:00:22,530 --> 00:00:24,747 Fish and chips? Tater Tots? 7 00:00:25,208 --> 00:00:27,475 Something with some absorption? 8 00:00:33,360 --> 00:00:34,621 Give me a minute. 9 00:00:38,245 --> 00:00:40,360 I think we need to cut this guy off. 10 00:00:40,941 --> 00:00:43,552 No, don't cut him off. Offer him some food. 11 00:00:43,749 --> 00:00:44,758 Did that. 12 00:00:45,336 --> 00:00:49,360 Come on! It's a holiday crowd. I don't want any trouble. 13 00:00:49,973 --> 00:00:53,490 Give him another and maybe he'll pass out. 14 00:00:53,903 --> 00:00:54,906 Maybe he'll leave. 15 00:00:56,493 --> 00:00:59,575 So, let me be the first. 16 00:01:01,061 --> 00:01:02,221 Happy New Year. 17 00:01:03,565 --> 00:01:04,605 If you say so. 18 00:01:06,498 --> 00:01:09,679 So, you have any big plans? You make any resolutions? 19 00:01:10,266 --> 00:01:11,111 Nope. 20 00:01:11,880 --> 00:01:13,711 I'm done with the future. 21 00:01:50,149 --> 00:01:54,130 That guy, the one I wanted to cut off, he just left. 22 00:01:54,669 --> 00:01:57,927 - Problem solved. - No. He's getting in a car. 23 00:01:59,029 --> 00:02:00,261 His own car. 24 00:02:00,706 --> 00:02:03,018 - Where are you going? - He's driving and he's blind drunk. 25 00:02:03,130 --> 00:02:05,514 To follow him, if I can get a cab. 26 00:02:05,642 --> 00:02:07,744 What are you talking about? You can't leave. 27 00:02:07,904 --> 00:02:10,842 - Hey, taxi! - It's New Year's Eve! 28 00:02:11,957 --> 00:02:15,805 Yes, I want to report what looks like an impaired driver. 29 00:02:16,973 --> 00:02:19,927 His license plate? It's CX& 30 00:02:20,757 --> 00:02:22,722 Oh, wait. He's turning. 31 00:02:23,992 --> 00:02:25,242 Slow down. 32 00:02:27,696 --> 00:02:30,485 Looks like he's turning into a driveway. 33 00:02:33,866 --> 00:02:35,965 Looks like he's done for the night. 34 00:02:36,925 --> 00:02:38,610 Sorry to have bothered you. 35 00:02:53,861 --> 00:02:55,965 Can you take me back to where you got me? 36 00:03:20,047 --> 00:03:22,495 PRESENT 37 00:03:52,125 --> 00:03:53,624 Oh, Bull. 38 00:03:54,360 --> 00:03:57,496 - It's unanimous. - Not yet it isn't. 39 00:03:58,034 --> 00:04:01,463 All I need is one juror, one green juror. 40 00:04:02,525 --> 00:04:05,360 A great closing argument could turn this whole thing around. 41 00:04:05,728 --> 00:04:07,632 We're ready to hear closing arguments. 42 00:04:12,373 --> 00:04:15,466 Oh, man, talk about pressure. I would not want to be that guy. 43 00:04:19,360 --> 00:04:21,130 Ladies and gentlemen of the jury& 44 00:04:23,664 --> 00:04:26,725 I mean, what is there to say? 45 00:04:30,138 --> 00:04:31,381 Thank you for your attention. 46 00:04:36,384 --> 00:04:38,547 I don't know if this is just an optical illusion, 47 00:04:38,571 --> 00:04:41,130 but I'd almost swear all the jurors just got redder. 48 00:04:42,698 --> 00:04:44,426 - I miss Benny. - I miss Benny. 49 00:04:49,306 --> 00:04:50,285 Danny! 50 00:04:50,960 --> 00:04:53,906 Thanks for coming. Thanks for doing this. 51 00:04:53,981 --> 00:04:55,119 You were right. 52 00:04:55,226 --> 00:04:57,130 It's all in there. He's a repeat offender. 53 00:04:57,242 --> 00:04:59,719 This guy's as slippery as a fish covered in Vaseline.	Translation - Spanish 1 00:00:01,092 --> 00:00:05,450 NOCHEVIEJA HACE 21 MESES 2 00:00:05,501 --> 00:00:08,082 ¡Tres, dos, uno! 3 00:00:08,122 --> 00:00:10,122 ¡Oye, camarera! 4 00:00:15,200 --> 00:00:20,285 Sé que es Nochevieja, pero ¿no crees que ya has bebido suficiente? 5 00:00:21,000 --> 00:00:22,373 ¿Qué tal algo de comer? 6 00:00:22,530 --> 00:00:24,747 ¿Pescado con patatas fritas, croquetas de patata? 7 00:00:25,208 --> 00:00:27,475 ¿Algo que empape un poco? 8 00:00:33,360 --> 00:00:34,621 Un segundito. 9 00:00:38,245 --> 00:00:40,360 Tendríamos que dejar de servir a este tío. 10 00:00:40,941 --> 00:00:43,552 No, solo ofrécele algo de comer. 11 00:00:43,749 --> 00:00:44,758 Ya lo he hecho. 12 00:00:45,336 --> 00:00:49,360 ¡Venga ya! La gente está de fiesta. No quiero ningún problema. 13 00:00:49,973 --> 00:00:53,490 Ponle otra copa y a lo mejor se pone a dormir. 14 00:00:53,903 --> 00:00:54,906 O se va. 15 00:00:56,493 --> 00:00:59,575 Déjame ser la primera en felicitarte. 16 00:01:01,061 --> 00:01:02,221 ¡Feliz Año Nuevo! 17 00:01:03,565 --> 00:01:04,605 Si tú lo dices. 18 00:01:06,498 --> 00:01:09,679 ¿Tienes algún planazo, algún propósito? 19 00:01:10,266 --> 00:01:11,111 No. 20 00:01:11,880 --> 00:01:13,711 Ya no me importa el futuro. 21 00:01:50,149 --> 00:01:54,130 El tío al que quería dejar de servir se acaba de ir. 22 00:01:54,669 --> 00:01:57,927 - Problema resuelto. - No, se ha subido a un coche. 23 00:01:59,029 --> 00:02:00,261 ¡A su propio coche! 24 00:02:00,706 --> 00:02:03,018 - ¿Adónde vas? - Está conduciendo borracho perdido. 25 00:02:03,130 --> 00:02:05,514 A seguirle, si consigo un taxi. 26 00:02:05,642 --> 00:02:07,744 ¿Qué estás diciendo? No te puedes ir. 27 00:02:07,904 --> 00:02:10,842 - ¡Taxi! - ¡Es Nochevieja! 28 00:02:11,957 --> 00:02:15,805 Sí, quiero denunciar a un conductor que parece ebrio. 29 00:02:16,973 --> 00:02:19,927 ¿Su matrícula? CX… 30 00:02:20,757 --> 00:02:22,722 Espere un segundo. Está girando. 31 00:02:23,992 --> 00:02:25,242 Un poco más despacio. 32 00:02:27,696 --> 00:02:30,485 Parece que está girando hacia una entrada. 33 00:02:33,866 --> 00:02:35,965 Parece que ya ha terminado por hoy. 34 00:02:36,925 --> 00:02:38,610 Siento la molestia. 35 00:02:53,861 --> 00:02:55,965 ¿Puede llevarme de vuelta adonde me ha recogido? 36 00:03:20,047 --> 00:03:22,495 PRESENTE 37 00:03:52,125 --> 00:03:53,624 ¡Ay, Bull! 38 00:03:54,360 --> 00:03:57,496 - Hay unanimidad. - Todavía no. 39 00:03:58,034 --> 00:04:01,463 Necesito a un solo jurado verde. 40 00:04:02,525 --> 00:04:05,360 Un gran alegato final podría darle la vuelta a todo esto. 41 00:04:05,728 --> 00:04:07,632 Estamos listos para escuchar los alegatos finales. 42 00:04:12,373 --> 00:04:15,466 ¡Pero qué presión! No me gustaría estar en su pellejo. 43 00:04:19,360 --> 00:04:21,130 Señoras y señores del jurado… 44 00:04:23,664 --> 00:04:26,725 Pues, ¿qué más se puede decir? 45 00:04:30,138 --> 00:04:31,381 Gracias por su atención. 46 00:04:36,384 --> 00:04:41,130 Igual es una ilusión óptica, pero juro que se han puesto más rojos. 47 00:04:42,698 --> 00:04:44,426 - Echo de menos a Benny. - Echo de menos a Benny. 48 00:04:49,306 --> 00:04:50,285 ¡Danny! 49 00:04:50,960 --> 00:04:53,906 ¡Gracias por venir, por hacer esto! 50 00:04:53,981 --> 00:04:55,119 Tenías razón. 51 00:04:55,226 --> 00:04:57,130 Ahí tienes toda la información. Es un reincidente. 52 00:04:57,242 --> 00:04:59,719 Este tío es más escurridizo que una anguila.

Master's degree - Psychology, University of Bucharest

Years of experience: 11. Registered at ProZ.com: May 2023. Became a member: Jun 2024.

N/A

English to Romanian (Cambridge University (ESOL Examinations), verified)
Spanish to English (Cambridge University (ESOL Examinations), verified)
Spanish to Romanian (University of Bucharest, verified)
English to Spanish (Cambridge University (ESOL Examinations), verified)
Portuguese to Romanian (University of Bucharest, verified)

N/A

Adobe Acrobat, Adobe Photoshop, Aegisub, CafeTran Espresso, ChatGPT, Crowdin, DeepL, EZTitles, Google Translator Toolkit, MateCat, memoQ, MemSource Cloud, Microsoft 365, Microsoft Excel, Microsoft Word, OmegaT, Passolo, PhraseApp, Plunet BusinessManager, Powerpoint, Protemos, ProZ.com Translation Center, Smartcat, Subtitle Edit, Subtitle Workshop, Titlevision Submachine, Trados Online Editor, Trados Studio, Translation Workspace, VoxscribeCC, Wordbee, Wordfast, XTM, XTRF Translation Management System

I can / am willing to use AI

English (PDF)

Andra Ursu's Continuing Professional Development

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Bio

Commerce, Marketing & Business: International trade platforms, online marketplaces, product listings and descriptions, promotional campaigns, ad copies, discount coupon terms, buyer / seller policies, packaging / labeling text, ads for snacks and beauty products, nutritional values

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IT & UI/UX: Major music streaming platforms, e-commerce marketplaces, online travel agencies, internet provider websites

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Medicine, Healthcare & Pharmacology: Collaborated with major multinational healthcare and pharmaceutical companies across a range of therapeutic areas—including Fabry disease, Respiratory Syncytial Virus (RSV), Pompe disease, Gaucher disease, Immune Thrombocytopenia (ITP), Acquired Thrombotic Thrombocytopenic Purpura (aTTP), and chronic obstructive pulmonary disease (COPD)—as well as translating user manuals for medical devices (such as: CT scanners; thermal, contrast, and compression therapy systems; disinfection and sterilisation devices; dental crown creation systems).

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Law: Contracts, single status certificates, marriage certificates, birth certificates, criminal record checks, affidavits, certificates of tax residence, insurance documentation, warranties

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Media / Entertainment: TV series, mini-series, news bulletins

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Gaming: Role-playing games (RPGs), narrative games, adult-oriented games

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Literature: Fiction, non-fiction, biographies, science articles

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Technical: User manuals and installation guides for home appliances (e.g., washing machines), lawn mowers, home improvement products (e.g., wallpapers)

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Engineering & Industrial: Standard operating procedures (SOPs), laboratory instrument manuals (e.g., water quality and testing equipment), plant construction documents, and technical safety specifications

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HSE (Health, Safety & Environment):

Construction and site safety, risk assessments, personal protective equipment (PPE) protocols, fall protection, hazard identification, Environmental Impact Assessments (EIAs), waste management protocols, environmental compliance reports

AI Training & Data Annotation

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AI Response Evaluation & Fact-Checking: Evaluated AI-generated content (essays, correspondence, and factual answers) for strict prompt adherence and constraint compliance. Verified response accuracy through online research, providing authoritative source references, and reviewed tone, register, and style suitability.

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AI Model Evaluation and Preference Testing Across Text, Image, and Video Outputs: Involved comparing and rating AI-generated responses (such as movie titles, images, or videos) based on specific criteria like realism, prompt alignment, visual quality, etc. For these tasks, I selected the best option, rated my confidence level, and wrote clear justifications explaining the reasoning behind my choices.

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Data Labeling Projects: Evaluated LLM datasets using predefined error categories (flagging spelling errors, incorrect / mixed languages, garbled text, or marking as issue-free) and classified texts into designated subject areas. Identified and applied distinct tags to specific entities, such as industry terms, brand names, and personal names. Additionally, I performed QA to verify that the tagging was accurate and consistent.

Keywords: english, spanish, french, italian, portuguese, romanian, localization, translation, editing, post-editing. See more.english, spanish, french, italian, portuguese, romanian, localization, translation, editing, post-editing, MTPE, AI training, review, LQA, QA, subtitling, quality check, localisation, QC, machine translation post-editing, quality assurance, revision, proofreading, subtitles, medicine, law, marketing, commerce, IT, software, technical, gaming, media, literature, science, pharmacology, healthcare, certificates, legal, business, retail, engineering, industrial, UI/UX, transcreation, AIPE, annotation, arbitration, content moderation. See less.

Profile last updated
Oct 21

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